Methods, systems, and computer-readable storage media for verification of identity of individuals based on images obtained by two cameras. A first stream of images of an individual are obtained from a first camera. Gamma correction is applied to images of the first stream of images. A second stream of images of the individual is obtained simultaneously with the first stream of images from a second camera, where gamma correction is not applied to images of the second stream of images. An identity of the individual is verified by providing the first stream of images and the second stream of images for independent automated matching with an authentication image. The authentication image is an image of the individual from a verified source.
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
H04N 9/69 - Circuits for processing colour signals for controlling the amplitude of colour signals, e.g. automatic chroma control circuits for modifying the colour signals by gamma correction
H04N 23/88 - Camera processing pipelinesComponents thereof for processing colour signals for colour balance, e.g. white-balance circuits or colour temperature control
3.
METHODS, MOBILE APPARATUS, AND ELECTRONIC DEVICE FOR CONTROLLING VEHICLE, COMPUTER PROGRAM, AND STORAGE MEDIUM
A method for controlling a vehicle is provided. The method is implemented by a mobile apparatus configured to be connected to and disconnected from the vehicle through a communication interface. The method includes: connecting to the vehicle via the communication interface; determining that a user associated with the apparatus is authorized to operate the vehicle; and controlling the vehicle via the communication interface to enable the vehicle to perform a function that affects the operation of the vehicle.
B60W 40/08 - Estimation or calculation of driving parameters for road vehicle drive control systems not related to the control of a particular sub-unit related to drivers or passengers
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Downloadable computer application software for the identification and authentication of people; downloadable computer application software for monitoring and tracking people and personal data; electronic authentication systems consisting of downloadable software featuring facial recognition technology for the identification and authentication of people; electronic authentication systems consisting of downloadable software featuring facial recognition technology for monitoring and tracking people and personal data; biometric identification and access control systems consisting of downloadable software featuring facial recognition technology Design, installation, development, implementation, and maintenance of computer software systems, software applications, and non-downloadable cloud based software for the identification and authentication of people; design, installation, development, implementation, and maintenance of computer software systems, software applications, and non-downloadable cloud based software for monitoring and tracking people and personal data; design and development of electronic authentication systems; design and development of data processing systems for the authentication and identification of people; design and development of data processing systems for the monitoring and tracking of people and personal data; computer and technological services, namely, online data storage for securing personal information and biometric data; providing temporary use of non-downloadable cloud based software for the identification and authentication of people; providing temporary use of non-downloadable cloud based software for monitoring and tracking people and personal data Security services for protection of property and individuals, namely, the identification and authentication of people relating to the physical safety of persons and security of tangible property; security services for protection of property and individuals, namely, the monitoring and tracking of people and personal data relating to the physical safety of persons and security of tangible property
5.
SYSTEMS AND METHODS FOR IDENTITY AUTHENTICATION AND FEEDBACK
A system for authenticating a first user to a second user is described. The system includes a memory device having instructions stored thereon, a camera device associated with the second user, and a processor in communication with the memory device and the camera device wherein the processor is configured to execute the instructions. The instructions cause the processor to establish, based upon data received at the camera device from a first user device associated with the first user, a communication channel with the first user device and receive, via the communication channel, a mobile identification (mID) provided by the first user device. The instructions also cause the processor to determine whether to authenticate the first user based upon credential data extracted from the mID provided by the first user and initiate, based upon the determination, feedback to the second user indicating whether the first user was authenticated.
The invention concerns an identity document comprising a visual representation of encoded data, the encoded data allowing a capturing device to determine location of at least a part of the outlines of a region-of-interest of the identity document, relative to at least one reference point of the visual representation, the region-of-interest being different from the visual representation.
G06V 30/42 - Document-oriented image-based pattern recognition based on the type of document
G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving mission specific data. Converting the mission specific data into attribute classes recognizable by image recognition classifiers, where the image recognition classifiers are pre-trained to detect objects corresponding to the attributed classes within digital images. Obtaining, from a wearable camera system, low resolution images of a scene and high resolution images of the scene. Detecting, within the low resolution images using a low resolution image classifier, an object that corresponds to one of the attribute classes. In response to detecting the object that corresponds to one of the attribute classes, providing, for presentation to a user of the wearable camera system by a presentation system, an first alert indicating a potential detection of the suspect, and providing the high resolution images to a high resolution image classifier. Obtaining, from the high resolution image classifier, a confirmation of the detected object from the low resolution images. In response to obtaining the confirmation, providing, for presentation to the user by the presentation system, a second alert indicating confirmation that the object has been detected.
G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions
H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
G08B 27/00 - Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
G08B 13/196 - Actuation by interference with heat, light, or radiation of shorter wavelengthActuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
G06V 20/20 - ScenesScene-specific elements in augmented reality scenes
G06V 30/24 - Character recognition characterised by the processing or recognition method
In general, one innovative aspect of the subject matter described in this specification may be embodied in methods that may include designating specific information within a digital identification as secure user information and designating other specific information as non-secure user information, and provisioning user-specific authentication techniques to restrict unauthorized access to the secure user information. For instance, the secure user information may be prevented from being displayed on the digital identification without the submission of an access credential such as a user-specified code or a user biometric identifier.
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Business data processing services, namely, inputting biometric data into a software data platform, to perform identification verification and authentication data analytics and machine learning of the data for security purposes Solutions for biometrics, identity, security and authentication, namely, software as a service (saas) services featuring computer software platforms for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, and iris analysis, matching, and enrollment functionality; providing temporary use of non-downloadable cloud based software for performing data analytics of biometric data; software as a service (SaaS) services featuring software for identity and access management; industrial analysis and research services in the field of biometric and document verification, biometric authentication, biometric access control, and biometric surveillance and security; design, development, programming, testing, maintenance, customization, hosting and rental of computer software for biometrically enabled access control for others; design, development, computer programming, testing, maintenance, hosting and rental of computer databases for others; design, development, programming, testing, maintenance, and hosting of online websites for others; rental of computer servers, database servers and web servers to third parties; technical support services namely, help desk services for computer software, computer databases and web sites; software as a service (SaaS) services featuring software for biometric and document verification, biometric authentication, biometric access control, and biometric surveillance and security; software as a service (SaaS) services featuring software for secure access solutions for visitor enrollment, entry, and exit; software as a service (SaaS) services featuring software for encryption, decryption, authentication and verification of data, information and messages for others; encryption, decryption, authentication of data, information and messages for others in the nature of digital certificates for others; information and consultancy regarding all aforementioned services Security screening services, namely, verifying the identity credentials of enrolled members for public safety and security purposes; identification verification services, namely, verification of personal identity credentials for visitor enrollment, entry, and exits for safety and security purposes
10.
Mobile application for automatic identification enrollment using information synthesis and biometric liveness detection
Methods and systems to synthesize information from multiple discrete and unrelated documents, and from the synthesized information verify the identity of an individual to a high degree of trust are described. Information is adaptively synthesized from varied documents, and through generation of document confidence scores. Enrollment requirements for a trusted identification are evaluated in a real-time environment. The enrollment requirements may represent a minimum level of documentation required to sufficiently verify an individual's true identity in order to permit issuance of the trusted identification. Once sufficient documentation has been obtained and validated to meet or exceed enrollment requirements, the documentation (including any original source copies of any documentation) is securely submitted to the trusted identification issuing authority.
In general, one innovative aspect of the subject matter described in this specification may be embodied in methods that may include validating user data pages extracted from a digital identification in circumstances where a user device that includes the digital identification is either unavailable or presently lacks network connectivity. For instance, an authorized device may be used to extract user data pages from the digital identification by either exchanging communications with the user device using a proximity-based data exchange protocol, or by using a physical identification card to identify the digital identification on a user record. The user data pages may then be validated by comparing checksums associated with user data pages against the checksums within the user record, and decrypting the user data pages using a decryption key that is variably designated by a security status assigned to the digital identification.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
42 - Scientific, technological and industrial services, research and design
45 - Legal and security services; personal services for individuals.
Goods & Services
Business data processing services, namely, inputting biometric data into a software data platform, to perform business data analytics and machine learning of the data for business purposes; business analytics services, namely, inputting biometric data into a software data exchange platform, to perform business data analytics and machine learning of the data for business purposes Solutions for biometrics, identity, security and authentication, namely, software as a service (saas) services featuring computer software platforms for use in the fields of biometrics, identity, security and authentication for biometric face, fingerprint, iris and voice analysis, matching, and enrollment functionality; providing temporary use of non-downloadable cloud based software for performing data analytics of biometric data; Software as a service (SAAS) services featuring software for identity and credential management; industrial analysis and research services in the field of cryptology, identity assurance, credential and authenticator assurance and biometrics; design, development, programming, testing, maintenance, customization, hosting and rental of computer software for secure collection and processing of identity data and credential management for others; design, development, computer programming, testing, maintenance, hosting and rental of online computer databases for others; design, development, programming, testing, maintenance, customization and hosting of on-line websites for others; rental of computer servers, database servers and web servers to third parties; technical support services, namely, help desk services for computer software, computer databases and websites; Software as a service (SAAS) services featuring software for identify verification, identification verification and authentication of personal identification information, identity lifecycle, and credential lifecycle management; Software as a service (SAAS) services featuring software for secure access solutions for visitor enrollment, entry, and exit; Software as a service (SAAS) services featuring software for encryption, decryption, authentication and verification of data, information and messages for others; encryption, decryption, and authentication of data, information and messages for others in the nature of digital certificates for others; information and consultancy regarding all aforementioned services Security screening services, namely, verifying the identity credentials of enrolled members for public safety and security purposes; identification verification services, namely, verification of personal identity credentials for visitor enrollment, entry, and exits for public health, safety, and security purposes; health analytics services, namely, inputting biometric health data into a software data exchange platform, to perform health data analytics and machine learning of the data
A document inspection system performs texture analysis on a portion of a first image that represents a first document and on a portion of a second image that represents a second document; performing. Feature vectors for the regions from the first and second documents are compared. If the feature vectors have a threshold degree of similarity, they may be identified as being sufficiently related. This may have applicability, for example, in determining with a first document is valid because reflects sufficiently-similar characteristics to those of a reference document.
G06F 16/56 - Information retrievalDatabase structures thereforFile system structures therefor of still image data having vectorial format
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a patternLocating or processing of specific regions to guide the detection or recognition
G06V 10/40 - Extraction of image or video features
A multilayer identification document including a first layer including a color component of a color image and a second layer including a grayscale component of the color image, wherein the grayscale component is laser-engraved on the second layer. The color component is printed on the first layer and defines a multiplicity of voids in a preselected arrangement. The color component and grayscale component are at least partially superimposed to yield a hybrid color image.
A system for combining tokens is provided. The system includes a computer device including at least one processor in communication with at least one memory device. The at least one processor is programmed to: a) receive identity information for an individual, b) receive device identity information for the computer device, c) combine the identity information and the device identity information to generate a base token, d) receive payment card information for a payment card associated with the individual, and e) combine the base token with the payment card information to generate a supertoken.
A computer-implemented method includes: establishing a connection between a user device of a user and a system onboard a vehicle being driven by the user; requesting access, through the established connection, to user information on the user device; in response to a grant of access, retrieving at least a portion of the user information from the user device, the portion of user information including a digital identification document of the user that had been issued by an entity after having vetted the user, the digital identification document including a digital biometric of the user as well as a digital watermark indicating the issuing entity; and retaining, on the system onboard the vehicle, data encoding the digital identification document of the user on the vehicle such that when the vehicle is inspected by a third-party agent, the digital identification document of the user is presented to the third-party agent.
G06F 21/30 - Authentication, i.e. establishing the identity or authorisation of security principals
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
G09C 5/00 - Ciphering or deciphering apparatus or methods not provided for in other groups of this subclass, e.g. involving the concealment or deformation of graphic data such as designs, written or printed messages
Some implementations of the present disclosure are directed to a computer-implemented method that includes: detecting a plurality of characters from a photo of an object; generating a set of character-based features based on the plurality of characters; matching the set of character-based features with a template of feature sets obtained from known objects; based on a matching set of character-based features, establishing a matching transformation between the object in the photo and the template of feature sets; and projecting the matching transformation to the photo such that the object is segmented from the photo.
G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
G06T 7/70 - Determining position or orientation of objects or cameras
G06K 9/62 - Methods or arrangements for recognition using electronic means
G06T 3/60 - Rotation of whole images or parts thereof
G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
A method for automatic correction and generation of facial images includes storing, by a computer system, multiple constraints specifying an image quality. The computer system receives a first image of a face of a user from a computer device. The computer system determines that the first image of the face of the user violates at least one constraint of the multiple constraints specifying the image quality. Responsive to the determining that the first image of the face of the user violates the at least one constraint, the computer system generates a second image of the face of the user based on the first image of the face of the user and the at least one constraint, such that the second image of the face of the user satisfies the at least one constraint. A display device of the computer system displays the second image of the face of the user.
Methods and systems, including computer programs encoded on a computer storage medium, are used for generating an identification document comprising an image of an individual, personal information associated with the individual, and line patterns that include multiple distinct square-wave lines. The square-wave lines enable credential data about a person assigned to the identification document to be securely stored at the identification document. A first portion of distinct square-wave lines are used to encode a first item of credential data and to determine whether the image of the individual corresponds to the first item of credential data. A second portion of distinct square-wave lines are used to encode a second item of credential data and to determine whether the personal information corresponds to the second item of credential data.
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
23.
Method and system for detection of altered fingerprints
A method for detection of altered fingerprints includes receiving, by at least one processor, an image of a fingerprint from a fingerprint reader. The image has an image resolution. The processor determines a spatial location of the fingerprint within the image. The processor crops the image around the spatial location to provide a cropped image. The processor generates multiple derived images using the cropped image, such that each derived image has the image resolution. The processor generates a multiple-channel image using the derived images. The processor scales the multiple-channel image to an image size. The processor generates a score using a machine learning model. The score is based on the multiple-channel image and is indicative of a likelihood that the fingerprint has been altered.
Some implementations provide a computer-assisted method for embedding information in an identification document. The method includes: modulating information by varying lengths of line segments; generating a line code that includes the line segments with corresponding lengths; and applying the line code on an identification document such that the information is used to authenticate the identification document as genuine when a person presents the identification document to verify an identify of the person.
A list of possible mated minutiae in a reference fingerprint and a search fingerprint is identified. The list of possible mated minutiae is divided into different groups of mated minutiae using pose grouping based on rigid transformation parameters. For each group, the possible mated minutiae are filtered to get a set of consistent mated minutiae pairs having similar rigid transformation. The topological consistency between groups is determined. If any two groups are topologically consistent to each other, they are merged to form a (virtual) larger group. A non-linear transformation parameters are estimated from the mated minutiae in the merged group. The overall similarity of mated and non-mated minutiae in the overlapping area is determined after non-linear alignment of the two fingerprints, and the maximum similarity is output as the final similarity score between two fingerprints.
A computer-implemented method that includes providing, by a first computing device, a request for identifying data, wherein the first computing device is accessible by a first user. The method may further include receiving, by a second computing device, the request provided by the first computing device, wherein the second computing device is accessible by a second user. Additionally, the method may include, transmitting, by the second user, identifying data to a location accessible by the first computing device, wherein the identifying data is transmitted to the location based on an address provided by the first user. The method may yet further include accessing, by the first user, the identifying data transmitted by the second user; and validating, by the first user, the identifying data provided by the second user in response to accessing the identifying data.
Some implementations may provide a machine-assisted method for determining trustworthiness of a requested transaction, the method including: receiving, from a relying party, a request to determine a trustworthiness of a particular transaction request, the transaction request initially submitted by a user to access data managed by the relying party; based on the transaction request, summarizing the particular transaction request into transactional characteristics, the transactional characteristics devoid of source assets of the transaction, the source assets including credential information of the user, the credential information of the relying party, or information content of the requested transaction; generating first machine readable data encoding transactional characteristics of the underlying transaction as requested, the transactional characteristics unique to the particular transaction request; submitting a first inquiry at a first engine to determine an access eligibility of the user submitting the transaction request, the first inquiry including the credential information of the submitting user, as well as the summarized transactional characteristics that is applicable only once to the underlying transaction request; and receiving the access eligibility determination from the first engine.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
An identification document includes a card structure including a plastic material, a surface of the card structure including a first surface region that includes a plurality of depressions formed in the surface according to a predefined pattern; and a second surface region that includes a majority of a surface area of the identification document, wherein the second surface region is non-porous. A surface energy of the surface in the first surface region is greater than a surface energy of the surface in the second surface region.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
G06Q 20/34 - Payment architectures, schemes or protocols characterised by the use of specific devices using cards, e.g. integrated circuit [IC] cards or magnetic cards
G06K 19/02 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the selection of materials, e.g. to avoid wear during transport through the machine
A computer-implemented method includes: receiving a request for associating a first index of privileges and permissions with an identity token, the first index specifically encoding the privileges and permissions of a first subscriber in accessing transactional data of the requester, the request including the identity token that identifies a person and has been issued to the requester by a trusted entity through a vetting process; in response to determining that the identity token is valid and verifying that the requester is the person identified by the identity token, associating the first index of privileges and permissions of the first subscriber with the identity token; and providing the identity token associated with the first index of privileges and permissions of the first subscriber, the identity token enabling the first subscriber to access transactional data of the requester in accordance with the first index of privileges and permissions.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving mission specific data. Converting the mission specific data into attribute classes recognizable by image recognition classifiers, where the image recognition classifiers are pre-trained to detect objects corresponding to the attributed classes within digital images. Obtaining, from a wearable camera system, low resolution images of a scene and high resolution images of the scene. Detecting, within the low resolution images using a low resolution image classifier, an object that corresponds to one of the attribute classes. In response to detecting the object that corresponds to one of the attribute classes, providing, for presentation to a user of the wearable camera system by a presentation system, an first alert indicating a potential detection of the suspect, and providing the high resolution images to a high resolution image classifier. Obtaining, from the high resolution image classifier, a confirmation of the detected object from the low resolution images. In response to obtaining the confirmation, providing, for presentation to the user by the presentation system, a second alert indicating confirmation that the object has been detected.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
H04N 7/18 - Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
G08B 27/00 - Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
G08B 13/196 - Actuation by interference with heat, light, or radiation of shorter wavelengthActuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
G06K 9/68 - Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of reference, e.g. addressable memory
Some implementations provide a method that includes: generating an association, at a mobile device, between a government-issued identification document of a user and a mode of payment; receiving, at the mobile device, a presentation of the government-issued identification document of the user to support a request for payment; validating whether the presented government-issued identification document is a valid identification of the user; and in response to validating the presented government-issued identification document, proceeding with payment by using the mode of payment.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
G06Q 20/32 - Payment architectures, schemes or protocols characterised by the use of specific devices using wireless devices
A physical credential includes a first core stock layer provisioned in accordance with a first architecture defining an arrangement of embedded identity attributes with respect to X-Y coordinates of the physical credential. An inlay card layer is affixed to the first core stock layer and includes one or more wire-based antennas. A core stock layer is affixed to the inlay card layer and provisioned in accordance with a second architecture defining an arrangement of embedded security attributes with respect to the X-Y coordinates. The second architecture defines one or more constraints with the first architecture with respect to the X-Y coordinates. The core stock layer includes a semiconductor chip electrically coupled to the one or more wire-based antennas. A personalization layer is affixed to the core stock layer and includes one or more of the identity attributes embedded in compliance with the first architecture and the second architecture.
An identification document including a multilayer laminate having a core layer defining an opening therethrough, and a dynamic window in the opening. The dynamic window includes an optically variable coating on at least a front or a back of the dynamic window. The optically variable coating appears transparent when viewed from the front of the identification document in light transmitted through the dynamic window from the back of the identification document toward the front of the identification document, and appears nontransparent when viewed from the front of the identification document in light reflected from the front of the identification document. Fabricating an identification document with a dynamic window includes forming an opening in a core layer, positioning a dynamic window in the opening, and plate laminating the core layer and the dynamic window between at least one outer layer on each side of the core layer.
A machine-assisted method for verifying a video presence that includes: receiving, at a computing device of an identity provider, an authentication request initially sent from a requester to access an account managed by a relying party, different from the identity provider; retrieving, from the authentication request, at least a portion of a video stream feed initially from the requester, to the computing device, the portion of video stream feed portraying a face of the requester; extracting the face of the requester from the portion of the video stream feed; providing a directive to the requester soliciting a corresponding gesture; and receiving a response gesture from the requester.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, in real-time from an image capture device, a video stream comprising images of a document by a computing device. The computing device provides, for display in an image preview window, the video stream overlaid with a graphical capture guide. In response to detecting a lighting artifact in at least one image of the video stream, the computing device modifies the graphical capture guide within the image preview window. The computing device captures one or more of the images of the document from the video stream.
A computer-implemented method is described. The method includes generating, for display on a computing device, an identification rendering viewable on a display of the device, the identification rendering including an authority indicator and a digital image of a person. The method further includes the device triggering an interactive effect associated with the identification rendering. The triggering occurs in response to the device receiving a trigger input and the trigger can be from any input or communications sensor of the computing device. The triggered interactive effect includes an authority indicator and a freshness indicator that enables an individual viewing the display to validate the identity of the person associated with the digital image. Validation can be based on at least one of a characteristic of the interactive effect and attributes of the person or the authority indicator.
In some implementations, a method includes: receiving, from the camera, a sample image that includes a fingerprint and a mensuration reference device, where the sample image is associated with a resolution; identifying (i) a plurality of edge candidate groups within the sample image, and (ii) a set of regularity characteristics associated with each of the plurality of edge candidate groups; determining that the associated set of regularity characteristics indicates the mensuration reference device; identifying a ruler candidate group, from each of the plurality of edge candidate groups, based at least on determining that the associated set of regularity characteristics indicates the mensuration reference device; computing a scale associated with the sample image based at least on extracting a set of ruler marks from the identified ruler candidate group; and generating, based at least on the scale associated with the sample image, a scaled image.
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
Innovative aspects of the subject matter described in this specification can be embodied in a portable biometric capture system. In one example, a portable biometric capture system includes a case, a telescoping stand, a camera housing, and a power source. The case includes wheels and a carry handle. The telescoping stand has a first end and a second end. The first end of the telescoping stand is coupled to a surface within an interior of the case by a first pivotable joint. The camera housing is coupled to the second end of the telescoping stand by a second pivotable joint. The power source is installed within the interior of the case and electrically connected to a wiring that is routed to the camera housing through a channel within the telescoping stand.
G06F 3/0354 - Pointing devices displaced or positioned by the userAccessories therefor with detection of 2D relative movements between the device, or an operating part thereof, and a plane or surface, e.g. 2D mice, trackballs, pens or pucks
G03B 17/04 - Bodies collapsible, foldable or extensible, e.g. book type
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for applying a ghost image to an identification document that include the actions of obtaining a first image of an object. Identifying a first portion of the first image that corresponds with the object and a second portion of the first image that does not correspond with the object. Generating a second image by converting the first image to a negative image, and removing the second portion of the first image that does not correspond to the object. Generating a halftone image from the second image. Causing optically variable media to be applied to the identification document based on the halftone image. The optically variable media has a first appearance when viewed from in reflected light at a first angle and a second, different appearance when viewed in reflected light at a second, different angle.
A computer-implemented method includes: establishing a connection between a user device of a user and a system onboard a vehicle being driven by the user; requesting access, through the established connection, to user information on the user device; in response to a grant of access, retrieving at least a portion of the user information from the user device, the portion of user information including a digital identification document of the user that had been issued by an entity after having vetted the user, the digital identification document including a digital biometric of the user as well as a digital watermark indicating the issuing entity; and retaining, on the system onboard the vehicle, data encoding the digital identification document of the user on the vehicle such that when the vehicle is inspected by a third-party agent, the digital identification document of the user is presented to the third-party agent.
G06F 21/30 - Authentication, i.e. establishing the identity or authorisation of security principals
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
G09C 5/00 - Ciphering or deciphering apparatus or methods not provided for in other groups of this subclass, e.g. involving the concealment or deformation of graphic data such as designs, written or printed messages
A method for detecting images of fraudulently generated or photocopied secure credential documents using texture analysis includes receiving, by one or more processors, an image of a secure credential document from a computer device. The one or more processors segment the image of the secure credential document into multiple regions. For each region of the multiple regions, the one or more processors extract local high-resolution texture features from the image of the secure credential document. The one or more processors generate a score based on the local high-resolution texture features using a machine learning model. The score is indicative of a likelihood that the image of the secure credential document is fraudulently generated or photocopied. The one or more processors transmit a message to a display device indicating that the image of the secure credential document is fraudulently generated or photocopied.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining image data of an identification (ID) document and identifying a pattern of the ID document based on analysis of the image data against a predefined patterns for a particular type of document. An identifier engine of the system computes a frequency metric that defines how often the pattern reoccurs at the ID document and generates a unique identifier for the ID document based on the computed frequency metric. The unique identifier is stored at a digital fingerprint database of the system as a digital fingerprint for the ID document.
G06V 30/413 - Classification of content, e.g. text, photographs or tables
G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components
G06V 30/418 - Document matching, e.g. of document images
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining image data of an identification (ID) document and identifying a pattern of the ID document based on analysis of the image data against a predefined patterns for a particular type of document. An identifier engine of the system computes a frequency metric that defines how often the pattern reoccurs at the ID document and generates a unique identifier for the ID document based on the computed frequency metric. The unique identifier is stored at a digital fingerprint database of the system as a digital fingerprint for the ID document.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Downloadable software and software applications for identity verification using biographic and biometric identifiers; downloadable software and software applications for document and credential authentication; downloadable software and software applications for securing digital identity proofing, management, and authentication. Software as a service featuring software for identity verification using biometric and biographic identifiers; software as a service featuring software for document and credential authentication; software as a service featuring computer software for securing digital identity proofing, management, and authentication; providing personal identification and verification services using biometric hardware and software technology for e-commerce transactions; platform as a service featuring software platforms for identity verification using biometric and biographic identifiers; platform as a service featuring software platforms for document and credential authentication; platform as a service featuring software platforms for securing digital identity proofing, management, and authentication.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Downloadable software and software applications for identity verification using biographic and biometric identifiers; downloadable software and software applications for document and credential authentication; downloadable software and software applications for securing digital identity proofing, management, and authentication (1) Software as a service featuring software for identity verification using biometric and biographic identifiers; software as a service featuring software for document and credential authentication; software as a service featuring computer software for securing digital identity proofing, management, and authentication; providing personal identification and verification services using biometric hardware and software technology for e-commerce transactions; platform as a service featuring software platforms for identity verification using biometric and biographic identifiers; platform as a service featuring software platforms for document and credential authentication; platform as a service featuring software platforms for securing digital identity proofing, management, and authentication
47.
Machine-readable verification of digital identifications
In general, one innovative aspect of the subject matter described in this specification may be embodied in methods that may include designating specific information within a digital identification as secure user information and designating other specific information as non-secure user information, and provisioning user-specific authentication techniques to restrict unauthorized access to the secure user information. For instance, the secure user information may be prevented from being displayed on the digital identification without the submission of an access credential such as a user-specified code or a user biometric identifier.
A computer-assisted method includes: accessing information encoding a high-resolution image of an identification document, the high-resolution image captured from a camera of a mobile computing device; extracting personally identifiable information (PII) printed on more than one locations on the front of the identification document; correlating the PII to determine a first authentication factor; inspecting the high-resolution image to detect at least one fine-print feature from a substrate of the identification document, the at least one fine-print feature not detectable by naked eyes alone and without a visual aid; in response to (i) determining a match for the PII and (ii) determining that at least one fine-print feature is present, correlating the PII with information content from the at least one fine-print feature; and in response to determining that the PII are correlated with information content from the at least one fine-print feature that the identification document as authentic.
In general, the subject matter described in this specification relates to security credentials for documents, such as identification documents. One example is an identification document that includes a photographic image of an individual associated with the document, and a spiral pattern applied to a region of the identification document. The spiral pattern includes an elliptical spiral segmented into a plurality of arc segments, where wherein the arc segments of the spiral pattern encode identification data associated with the individual. Other implementations include corresponding processes, systems, apparatus, and computer programs related to generating and verifying identification documents with spiral patterns.
B42D 25/21 - Information-bearing cards or sheet-like structures characterised by identification or security featuresManufacture thereof characterised by a particular use or purpose for multiple purposes
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
In general, the subject matter described in this specification relates to security credentials for documents, such as identification documents. One example is an identification document that includes a photographic image of an individual associated with the document, and a spiral pattern applied to a region of the identification document. The spiral pattern includes an elliptical spiral segmented into a plurality of arc segments, where wherein the arc segments of the spiral pattern encode identification data associated with the individual. Other implementations include corresponding processes, systems, apparatus, and computer programs related to generating and verifying identification documents with spiral patterns.
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
G06F 16/9035 - Filtering based on additional data, e.g. user or group profiles
G06F 16/955 - Retrieval from the web using information identifiers, e.g. uniform resource locators [URL]
G06K 7/14 - Methods or arrangements for sensing record carriers by electromagnetic radiation, e.g. optical sensingMethods or arrangements for sensing record carriers by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining information to be embedded within an identification document. Modifying the information to add depth when viewed through a three-dimensional (3D) viewing device, thereby yielding modified information. Embedding the modified information in a target image to yield a modified target image such that the modified information is not viewable to a naked eye and the modified information is visible with added depth when viewed through a 3D viewing device. Disposing the modified target image on an identification document to yield embedded 3D information. An identification document includes the target image and 3D information embedded within the target image. The 3D information embedded within the target image is not visible to a naked eye, but is visible with added depth when viewed through a 3D viewing device.
In some implementations, a method may be used for matching palm print images. A search template that identifies at least a plurality of distinctive search orientation blocks within a search orientation field may be initially generated for a search palm print image. A reference template may be obtained. A mated distinctive reference orientation block may be identified for each of the distinctive search orientation blocks. One or more regions of the search orientation field that include the distinctive search orientation blocks may be compared against one or more corresponding regions of the reference orientation field. An orientation similarity score between the search palm print image and the reference palm print image may be computed based on the comparison. A match may finally be determined if the computed orientation score satisfies a predetermined threshold value.
A method for producing an identification article is described. The method includes associating one or more data items with one or more line patterns, where the line patterns include one or more line segments. A particular data item is associated with at least a subset of line segments and the particular data item corresponds to an attribute of a user of the identification article. The method further includes integrating the line patterns with graphical features of the identification article. The graphical features being discernable by a human eye and the subset of line segments is indiscernible by the human eye. The method includes identifying a region of the identification article that includes the subset of line segments associated with the particular data item and associating the particular line pattern with an identifying feature of the user.
A computer-implemented method includes: receiving a request for associating a first index of privileges and permissions with an identity token, the first index specifically encoding the privileges and permissions of a first subscriber in accessing transactional data of the requester, the request including the identity token that identifies a person and has been issued to the requester by a trusted entity through a vetting process; in response to determining that the identity token is valid and verifying that the requester is the person identified by the identity token, associating the first index of privileges and permissions of the first subscriber with the identity token; and providing the identity token associated with the first index of privileges and permissions of the first subscriber, the identity token enabling the first subscriber to access transactional data of the requester in accordance with the first index of privileges and permissions.
Some implementations may provide a machine-assisted method for determining a trustworthiness of a requested transaction, the method including: receiving, from a relying party, a request to determine a trustworthiness of a particular transaction request, the transaction request initially submitted by a user to access data managed by the relying party; based on the transaction request, summarizing the particular transaction request into transactional characteristics, the transactional characteristics devoid of source assets of the transaction, the source assets including credential information of the user, the credential information of the relying party, or information content of the requested transaction; generating first machine readable data encoding transactional characteristics of the underlying transaction as requested, the transactional characteristics unique to the particular transaction request; submitting a first inquiry at a first engine to determine an access eligibility of the user submitting the transaction request, the first inquiry including the credential information of the submitting user, as well as the summarized transactional characteristics that is applicable only once to the underlying transaction request; and receiving the access eligibility determination from the first engine.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 29/06 - Communication control; Communication processing characterised by a protocol
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
Some implementations provide a method that includes: generating an association, at a mobile device, between a government-issued identification document of a user and a mode of payment; receiving, at the mobile device, a presentation of the government-issued identification document of the user to support a request for payment; validating whether the presented government-issued identification document is a valid identification of the user; and in response to validating the presented government-issued identification document, proceeding with payment by using the mode of payment.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
G06Q 20/32 - Payment architectures, schemes or protocols characterised by the use of specific devices using wireless devices
An identification document includes a first layer and a second layer fused to the first layer. The first layer and the second layer include polyester, and the identification document is non-delaminable. Forming the identification document includes providing variable data on a surface of a first layer including polyester, aligning the first layer and a second layer including polyester, and fusing the first layer and the second layer to yield a fused identification document.
G06K 19/02 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the selection of materials, e.g. to avoid wear during transport through the machine
Some implementations may include a computer-assisted method for authenticating a person at a point of service, the method including: receiving a digital identification document including a digital biometric of the person and a digital watermark, the digital watermark encoding personally identifiable information of the person; retrieving the digital watermark from the received digital identification document; extracting the personally identifiable information from the retrieved digital watermark; and authenticating the person identified by the digital biometric based on the retrieved digital watermark.
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
G07C 9/25 - Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a video feed of a scene. Selecting a first portion of the video feed and a second portion of the video feed based on a probability of an object being present in the first portion of the video feed compared to a probability of the object being present in the second portion of the video feed. Processing a first portion of the video feed using a first detection algorithm to detect the object in the first portion of the video feed. Processing a second portion of the video feed using a second detection algorithm to detect the object in the second portion of the video feet, where the first detection algorithm is different from the second detection algorithm.
In general, one innovative aspect of the subject matter described in this specification may be embodied in methods that may include validating user data pages extracted from a digital identification in circumstances where a user device that includes the digital identification is either unavailable or presently lacks network connectivity. For instance, an authorized device may be used to extract user data pages from the digital identification by either exchanging communications with the user device using a proximity-based data exchange protocol, or by using a physical identification card to identify the digital identification on a user record. The user data pages may then be validated by comparing checksums associated with user data pages against the checksums within the user record, and decrypting the user data pages using a decryption key that is variably designated by a security status assigned to the digital identification.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 29/06 - Communication control; Communication processing characterised by a protocol
In general, one innovative aspect of the subject matter described in this specification may be embodied in methods that may include verifying a digital identification using embedded encrypted user credential data that is not viewable to human eyes within the digital identification. For instance, the embedded encrypted user credential data may be variably encrypted by an encryption key that is designated by a security status assigned to the digital identification. The embedded encrypted user credential data may be extracted using an authorized device and decrypted using a decryption key that is associated with the encryption key designated by the security status. The decrypted user credential data may then be used to verify user information included in the digital identification.
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
H04L 29/06 - Communication control; Communication processing characterised by a protocol
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for facial recognition using fractal features are disclosed. In one aspect, a method includes the actions of accessing data encoding a facial image, the facial image including a face. The actions further include generating a hierarchical graphical model of the face in the facial image, the hierarchical graphical model including more than nodes from at least one level, each level approximating the face within a contour. The actions further include applying a bank of filters to the face at a particular node, each filter spanning more than one scale and at least one direction. The actions further include analyzing filter responses from the bank of filters applied at each direction to obtain a similarity measure that consolidates filter responses from filters applied at more than one scale. The actions further include generating a vector representation.
An identification document including a multilayer laminate having a core layer defining an opening therethrough, and a dynamic window in the opening. The dynamic window includes an optically variable coating on at least a front or a back of the dynamic window. The optically variable coating appears transparent when viewed from the front of the identification document in light transmitted through the dynamic window from the back of the identification document toward the front of the identification document, and appears nontransparent when viewed from the front of the identification document in light reflected from the front of the identification document. Fabricating an identification document with a dynamic window includes forming an opening in a core layer, positioning a dynamic window in the opening, and plate laminating the core layer and the dynamic window between at least one outer layer on each side of the core layer.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying, by a computer system, at least one line of a plurality of lines that are disposed at a first layer of a card; providing, by the computer system and based on the identified at least one line, control signals to a laser device of the computer system, the control signals indicating coordinates for the identified at least one line; generating, by the laser device and based on the control signals, one or more line patterns that are embedded at a particular layer of the card.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining, by a pixelation device, an arrangement of pixels for generating representations of data for a document; adjusting, by an increment module and based on the arrangement of pixels, an optical density of one or more pixels included in the arrangement; associating, by the pixelation device, a plurality of distinct types of credential data with one or more line patterns included in the arrangement of pixels; and generating, by the pixelation device, multiple line patterns at a document, the multiple line patterns encoding the plurality of distinct types of credential data.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for liveness detection are disclosed. In one aspect, a method includes the actions of capturing video data that includes multiple video frames that each include a representation of a face of a user while activating multiple light sources according to a predetermined lighting pattern. The actions further include, for each of the multiple video frames that each include the representation of the face of the user, analyzing the representation of the face of the user in the respective video frame and the respective predetermined lighting pattern active during capture of the respective video frame. The actions further include, based on analyzing the representation of the face of the user in the respective video frame and the respective predetermined lighting pattern, determining whether the face of the user is that of a live person or a static image.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G07C 9/00 - Individual registration on entry or exit
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
G07C 9/26 - Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition using a biometric sensor integrated in the pass
G07C 9/25 - Individual registration on entry or exit involving the use of a pass in combination with an identity check of the pass holder using biometric data, e.g. fingerprints, iris scans or voice recognition
In some implementations, an image recognition system is capable of using an iterative multi-stage image matching procedure to improve the accuracy and/or reliability of matching a search image with a small number of distinctive feature points to reference images. In the first stage, the system compares a search template for the search image to reference templates of each image within the set of reference images. The system determines a best-matched reference image from among the reference images of the set of reference images. In the second stage, the system compares the hybrid search template to one or more reference templates of reference images that is not the best-matched reference image. The comparison can be used to either compute match scores for reference images corresponding to the one or more reference templates.
G06F 17/30 - Information retrieval; Database structures therefor
G06F 16/583 - Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
G06K 9/62 - Methods or arrangements for recognition using electronic means
A list of possible mated minutiae in a reference fingerprint and a search fingerprint is identified. The list of possible mated minutiae is divided into different groups of mated minutiae using pose grouping based on rigid transformation parameters. For each group, the possible mated minutiae are filtered to get a set of consistent mated minutiae pairs having similar rigid transformation. The topological consistency between groups is determined. If any two groups are topologically consistent to each other, they are merged to form a (virtual) larger group. A non-linear transformation parameters are estimated from the the mated minutiae in the merged group. The overall similarity of mated and non-mated minutiae in the overlapping area is determined after non-linear alignment of the two fingerprints, and the maximum similarity is output as the final similarity score between two fingerprints.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining, by a pixelation device, an arrangement of pixels for generating representations of data for a document; adjusting, by an increment module and based on the arrangement of pixels, an optical density of one or more pixels included in the arrangement; associating, by the pixelation device, a plurality of distinct types of credential data with one or more line patterns included in the arrangement of pixels; and generating, by the pixelation device, multiple line patterns at a document, the multiple line patterns encoding the plurality of distinct types of credential data.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying one or more layers of a document, where at least one layer is an inner layer having a particular depth; determining a spectral feature from among multiple spectral features for application to the one or more layers of the document; determining a particular type of line segment code for application to the one or more layers of the document; and generating an identification document by: i) applying the spectral feature; and ii) applying the particular type of line segment code to the inner layer having the particular depth, wherein the particular depth is determined relative to at least one other layer of the document.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, in real-time from an image capture device, a video stream comprising images of a document by a computing device. The computing device provides, for display in an image preview window, the video stream overlaid with a graphical capture guide. In response to detecting a lighting artifact in at least one image of the video stream, the computing device modifies the graphical capture guide within the image preview window. The computing device captures one or more of the images of the document from the video stream.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a data capture application of a computing device that receives image data for an image of a document and uses the image data to capture content on the document while minimizing glare at the document. The data capture application receives user input for positioning an image token provided for display to a user of the data capture application. Positioning the image token causes adjustment of an attribute value of the image data. In response to receiving the user input the data capture application determines whether the attribute value of the image data satisfies a predefined attribute value. Based on the attribute value satisfying the predefined attribute value, the data capture application generates a composite image of the document using the image data received by the data capture application.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06F 1/16 - Constructional details or arrangements
H04N 1/00 - Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmissionDetails thereof
G06F 3/0346 - Pointing devices displaced or positioned by the userAccessories therefor with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
G06F 3/03 - Arrangements for converting the position or the displacement of a member into a coded form
G06F 3/00 - Input arrangements for transferring data to be processed into a form capable of being handled by the computerOutput arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
73.
Line segment code for embedding information in an image
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying, by a computer system, at least one line of a plurality of lines that are disposed at a first layer of a card; providing, by the computer system and based on the identified at least one line, control signals to a laser device of the computer system, the control signals indicating coordinates for the identified at least one line; generating, by the laser device and based on the control signals, one or more line patterns that are embedded at a particular layer of the card.
G06K 19/06 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
G06K 19/10 - Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code using markings of different kinds in the same record carrier, e.g. one marking being sensed by optical and the other by magnetic means at least one kind of marking being used for authentication, e.g. of credit or identity cards
G06K 1/12 - Methods or arrangements for marking the record carrier in digital fashion otherwise than by punching
74.
System and method for normalizing skin tone brightness in a portrait image
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for normalizing skin tone brightness are disclosed. In one aspect, a method includes the actions of receiving a color image that includes a representation of a face. The actions further include selecting a group of pixels in the color image that includes the representation of the face. The actions further include determining a brightness value that represents a brightness of the group of pixels in the color image that includes the representation of the face. The actions further include determining a brightness difference value. The actions further include comparing the brightness difference value to an upper threshold brightness difference value and a lower threshold brightness difference value. The actions further include determining whether to adjust a brightness of the color image that includes the representation of the face.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating, based on a portrait image, a foreground image mask to indicate foreground pixels of the portrait image; identifying a percentage of white or near white pixels in the foreground by using the foreground image mask and pixel colors in the portrait image; determining whether the percentage of white or near white pixels in the foreground is larger than a predefined threshold; in response to determining, triggering identification of edge pixels in a background of the portrait image; adjusting white background pixels to add shadows by darkening the white background pixels; and adjusting the white or near white pixels in the foreground by darkening the white or near white pixels.
Systems and methods may be used by an automatic fingerprint identification system to estimate ridge flow maps in latent fingerprints. A latent fingerprint image and a plurality of reference ridge flow maps may initially be obtained. A latent ridge flow map for the obtained latent fingerprint image may be computed. One or more characteristics associated with the latent ridge flow map may be compared to one or more characteristics associated with each of the plurality of reference ridge flow maps. A similarity score between the latent ridge flow map and a particular reference ridge flow map may be computed for each of the reference ridge flow maps. The top closely matched ridge flow maps are used to improve the latent ridge flow map to enhance the latent fingerprint image to extract better set of minutia points to improve latent to ten-print matching accuracy.
A steganographic-based ordering system and method using a digital identification (ID) are described. A user may obtain a digital ID card on a user device and select modes for interacting with the vendor. Using the digital ID, the user can create a personal profile that indicates the user's preferences, and place an order for an item (e.g., a product or service) through the digital ID. The order may be steganographically-embedded along with user data within the digital ID. The digital ID including the steganographically-em bedded order is transmitted to a digital ID reader located at the vendor. When completing an order for the user, the digital ID reader may de-embed user and order data from the received digital ID to obtain information about the user and provide more personalized service to complete the order.
G06Q 30/06 - Buying, selling or leasing transactions
H04L 29/06 - Communication control; Communication processing characterised by a protocol
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentialsReview and approval of payers, e.g. check of credit lines or negative lists
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
78.
System and method for digitally watermarking digital facial portraits
Some implementations may include a method for watermarking an identification document, the method including: modulating a spatial luminance pattern associated with a first digital watermark to encode a first portion of personally identifiable information; modulating a spatial chrominance distribution associated with a second digital watermark to encode a second portion of the personally identifiable information; and applying the first digital watermark and the second digital watermark to the identification document.
A computer-assisted method to segment an image of an identification document that includes: accessing data encoding the image of the identification document that includes four curved corners connected by four edges; applying gradient filters to the image of the identification document to generate an edge map that reveals candidate edges that are substantially horizontal or vertical relative to borders of the identification document, the gradient filters including gradient maps that reveal horizontal as well as vertical alterations of image intensities; accessing data encoding models representing an expected range of curved corners, each model quantifying both the radial and angular extents of the curved corners; identifying combinations of candidate edges, each combination including four candidate edges that are connected at four corners; and selecting a combination of candidate edges by applying the models to each of the four corners formed by the four candidate edges of each identified combination.
Some implementations may include a method for watermarking an identification document, the method including: modulating a spatial luminance pattern associated with a first digital watermark to encode a first portion of personally identifiable information; modulating a spatial chrominance distribution associated with a second digital watermark to encode a second portion of the personally identifiable information; and applying the first digital watermark and the second digital watermark to the identification document.
In some implementations, a method includes: receiving, from the camera, a sample image that includes a fingerprint and a mensuration reference device, where the sample image is associated with a resolution; identifying (i) a plurality of edge candidate groups within the sample image, and (ii) a set of regularity characteristics associated with each of the plurality of edge candidate groups; determining that the associated set of regularity characteristics indicates the mensuration reference device; identifying a ruler candidate group, from each of the plurality of edge candidate groups, based at least on determining that the associated set of regularity characteristics indicates the mensuration reference device; computing a scale associated with the sample image based at least on extracting a set of ruler marks from the identified ruler candidate group; and generating, based at least on the scale associated with the sample image, a scaled image.
Image data is obtained. The image data is divided into a plurality of segments. A frequency spectrum is generated for each segment. One or more dominant signals corresponding to the image data are estimated for each segment based on the associated frequency spectrum. A coherent enhancement process is applied to the one or more dominant signals in each segment by performing sequential scanning in one or more directions. For each of the one or more dominant signals, the data resulting from the coherent enhancement of the signal are stored into separate image buffers, wherein an image buffer is configured to store data resulting from the coherent enhancement of the associated dominant signal across multiple segments. Each of the one or more dominant signals are reconstructed based on aggregating the data stored in a corresponding image buffer.
Systems and methods may be used by an automatic fingerprint identification system to estimate patterns of a latent fingerprint. A latent fingerprint image, and a plurality of reference ridge flow maps may initially be obtained. Each reference ridge flow map may be associated with a particular fingerprint pattern. A latent ridge flow map for the obtained latent fingerprint image may be computed. One or more characteristics associated with the latent ridge flow map may be compared to one or more characteristics associated with each of the plurality of reference ridge flow maps. A similarity score between the latent ridge flow map and a particular reference ridge flow map may be computed for each of the plurality of reference ridge flow maps. One or more fingerprint patterns present within the latent fingerprint may then be determined and provided for output.
In some implementations, a computer-implemented method is capable of automatically segmenting and detecting a tattoo within an image. An image may be initially obtained. A block coverage pattern that identifies multiple blocks within the obtained image may be determined. A set of processing operations may then be performed for each block. The processing operations may include calculating a plurality of statistical features. A confidence score reflecting a likelihood that at least a portion of the block includes a predetermined graphical attribute associated with tattoos may be calculated. A subset of the multiple blocks of the image that have a respective confidence score greater than a predetermined threshold value may be identified. A portion of the image that includes one or more blocks from among the subset of the multiple blocks may then be determined to correspond to a tattoo.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06K 9/46 - Extraction of features or characteristics of the image
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
G06K 9/66 - Methods or arrangements for recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix references adjustable by an adaptive method, e.g. learning
G06K 9/32 - Aligning or centering of the image pick-up or image-field
G06T 7/41 - Analysis of texture based on statistical description of texture
85.
System and method for liveness detection using facial landmarks
Some implementations provide a computer-implemented method that include accessing image frames from a video sequence; detecting face of a subject in each image frame from the video sequence; detecting facial landmark features in the detected face; determining whether a sufficient number of facial landmark features and image frames have been obtained; in response to determining that a sufficient number of facial landmark features and image frames have been obtained, classifying detected facial landmark features from various detected image frames; quantifying variations of the classified facial landmark features across the detected image frames; correlating the quantified variations to a pre-determined threshold; and in response to determining that the quantified variations meet the pre-determined threshold, determining that the video sequence is from a live session.
In general, one innovative aspect of the subject matter described in this specification may be embodied in methods that include generating a three-dimensional composite image of a user from a set of two dimensional facial images. For instance, a depth map may initially be generated for each of the two dimensional facial images based on depth information. The depth maps may be used to identify matching elements that are used to combine multiple two-dimensional images. The generated three-dimensional composite image may then be displayed on a digital identification of a user device. In some instances, the rendering of the three-dimensional composite image on the user device may be adjusted based on tilting motions.
Identifying information about an individual is obtained. Soft biometrics information about the individual is generated using the identifying information. An identity record associated with the individual is populated with the soft biometrics information.
Some implementations provide a machine-assisted method for screening a person, the method including: receiving, at a scanning device, an identification document presented by the person, the identification document showing a machine-readable code that encodes personally identifiable information of the person, a biometric of the person, and printed information; scanning the machine-readable code on the identification document to extract personally identifiable information of the person; comparing the extracted personally identifiable information against records stored at a database; determining that the extracted personal identifiable information matches a record stored at the database; receiving data encoding the biometric of the person on the identification document for comparison with the person presenting the identification document; receiving a determination that the biometric from the identification document identifies the person presenting the identification document; and determining whether the identification document is digitally watermarked to identify payload data.
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining identity verification information of a patient. Verifying the patient's identity by: obtaining an indication that the patient identification document is authentic, and verifying that the representation of a biometric of the patient corresponds to a biometric indicated on the patient identification document. Determining that a physical location of a computing device is proximate to a physical location of the patient. In response to verifying the patient and determining that the physical location of the computing device is proximate to the physical location of the patient, determining eligibility of the patient to receive services from the service provider.
G06F 21/32 - User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
H04L 29/06 - Communication control; Communication processing characterised by a protocol
A method includes: normalizing intensities at each pixel in a fingerprint slap scan image such that variations of pixel intensities between fingerprint ridges and valleys are regularized; subsequently dividing the fingerprint slap scan image into blocks of pixels; for each block of pixels, estimating a spatial separation between adjacent fingerprint ridges as well as a ridge orientation for each fingerprint ridge within the particular block of pixels; calculating a distortion map for the various blocks by projecting, according to the estimated ridge orientation for each fingerprint ridge, an adjustment to the estimated spatial separation that is based on a difference between the estimated spatial separation and a target spatial separation; and warping the fingerprint slap scan image to compensate for the calculated distortion map such that the fingerprint ridges in the warped fingerprint slap scan image are scaled to compensate for local variations of adjustments in the calculated distortion map.
A machine-assisted method for verifying a video presence that includes: receiving, at a computing device of an identity provider, an authentication request initially sent from a requester to access an account managed by a relying party, different from the identity provider; retrieving, from the authentication request, at least a portion of a video stream feed initially from the requester, to the computing device, the portion of video stream feed portraying a face of the requester; extracting the face of the requester from the portion of the video stream feed; providing a directive to the requester soliciting a corresponding gesture; and receiving a response gesture from the requester.
Some implementations of the systems and techniques described include a tattoo recognition system that is capable of improving the accuracy and efficiency associated with matching edge curves extracted from tattoo images, which are typically performed during a tattoo matching operation. The system can perform a matching operation in two stages—a feature extraction stage and a matching stage. In the first stage, the system extracts one or more edge curves from the tattoo image. In the second stage, the system performs matching using a two-step comparison that compares features of the extracted edge curves.
In some implementations, systems and techniques are capable of performing a multi-stage tattoo matching operation to improve matching accuracy for various tattoo images—namely small tattoo images, distorted tattoo images, low-quality tattoo images. The multi-stage tattoo matching operation described throughout includes two matching stages that compare a search tattoo image against a set of reference tattoo images. In the first matching stage, the system can use scale invariant feature transform (SIFT) descriptors, or other similar types of local descriptors, to identify a list of best-matched reference tattoo images from among the set of reference tattoo images. In the second matching stage, the system uses enhanced tattoo matching techniques to verify the non-matched points and determine whether their associated areas are matched or not.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer services, namely, providing on-demand unification of internal and external computer networks, users, and Internet resources in the nature of the integration of computer systems and networks; Computerized digital identity authentication and verification services, namely, providing authentication of personal identification information or other data via a secure on-line network; Computerized identity management services in the nature of electronic monitoring of personally identifying information to detect false or fraudulent identity information via the internet; Computer services, namely, providing deployment and management of computer networks and wireless computer networks for others; technical support services, namely, the monitoring of computer and technological functions of computer network systems for others and the periodic upgrading of computer software for others; Providing an on-line network environment that features technology that enables users to share and access data
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer services, namely, providing on-demand unification of internal and external computer networks, users, and Internet resources in the nature of the integration of computer systems and networks; Computerized digital identity authentication and verification services, namely, providing authentication of personal identification information or other data via a secure on-line network; Computerized identity management services in the nature of electronic monitoring of personally identifying information to detect false or fraudulent identity information via the internet; Computer services, namely, providing deployment and management of computer networks and wireless computer networks for others; technical support services, namely, the monitoring of computer and technological functions of computer network systems for others and the periodic upgrading of computer software for others; Providing an on-line network environment that features technology that enables users to share and access data
In some implementations, a computer-implemented method is capable of automatically segmenting and detecting a tattoo within an image. An image may be initially obtained. A block coverage pattern that identifies multiple blocks within the obtained image may be determined. A set of processing operations may then be performed for each block. The processing operations may include calculating a plurality of statistical features. A confidence score reflecting a likelihood that at least a portion of the block includes a predetermined graphical attribute associated with tattoos may be calculated. A subset of the multiple blocks of the image that have a respective confidence score greater than a predetermined threshold value may be identified. A portion of the image that includes one or more blocks from among the subset of the multiple blocks may then be determined to correspond to a tattoo.
G06K 9/66 - Methods or arrangements for recognition using electronic means using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix references adjustable by an adaptive method, e.g. learning
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06T 7/90 - Determination of colour characteristics
G06T 7/35 - Determination of transform parameters for the alignment of images, i.e. image registration using statistical methods
G06K 9/62 - Methods or arrangements for recognition using electronic means
G06K 9/46 - Extraction of features or characteristics of the image
G06K 9/32 - Aligning or centering of the image pick-up or image-field
G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
In some implementations, a computer-implemented method and system for enrolling customers into a digital identification program may include obtaining, from a digital identification database, customer information that describes a customer, providing to the customer device an access code for activation, receiving a request from the customer device for the digital identification, where the request includes the access code and customer information that describes the customer, providing a request for secure information that describes the customer from a secure information database, receiving the secure information that describes the customer stored in the secure information database, generating the digital identification for the customer based on the secure information and the customer information, and providing the digital identification to the customer device.
A method for creating an identification document that includes: defining a debossed region on a surface of a card blank, the debossed region having a pre-determined pattern being indented into the card blank; and applying, as part of a lamination process, an overlay on the surface of the card blank to cover the defined debossed region such that an air gap is formed on the card blank's surface during the lamination process and is sealed and removed after the lamination process, and that a tactile pattern thus created on the surface of the overlay substantially duplicates the pre-determined pattern of the defined debossed region.
B32B 3/30 - Layered products comprising a layer with external or internal discontinuities or unevennesses, or a layer of non-planar shapeLayered products comprising a layer having particular features of form characterised by a particular shape of the outline of the cross-section of a continuous layerLayered products comprising a layer with external or internal discontinuities or unevennesses, or a layer of non-planar shapeLayered products comprising a layer having particular features of form characterised by a layer with cavities or internal voids characterised by a layer formed with recesses or projections, e.g. grooved, ribbed
B32B 3/28 - Layered products comprising a layer with external or internal discontinuities or unevennesses, or a layer of non-planar shapeLayered products comprising a layer having particular features of form characterised by a particular shape of the outline of the cross-section of a continuous layerLayered products comprising a layer with external or internal discontinuities or unevennesses, or a layer of non-planar shapeLayered products comprising a layer having particular features of form characterised by a layer with cavities or internal voids characterised by a layer comprising a deformed thin sheet, e.g. corrugated, crumpled
B32B 27/08 - Layered products essentially comprising synthetic resin as the main or only constituent of a layer next to another layer of a specific substance of synthetic resin of a different kind
B32B 7/12 - Interconnection of layers using interposed adhesives or interposed materials with bonding properties
B32B 27/10 - Layered products essentially comprising synthetic resin as the main or only constituent of a layer next to another layer of a specific substance of paper or cardboard
B32B 27/22 - Layered products essentially comprising synthetic resin characterised by the use of special additives using plasticisers
B32B 27/28 - Layered products essentially comprising synthetic resin comprising copolymers of synthetic resins not wholly covered by any one of the following subgroups
A machine-assisted method for verifying a video presence that includes: receiving, at a computing device of an identity provider, an authentication request initially sent from a requester to access an account managed by a relying party, different from the identity provider; retrieving, from the authentication request, at least a portion of a video stream feed initially from the requester, to the computing device, the portion of video stream feed portraying a face of the requester; extracting the face of the requester from the portion of the video stream feed; providing a directive to the requester soliciting a corresponding gesture; and receiving a response gesture from the requester.
Some implementations may include a method for watermarking an identification document, the method including: receiving a digitally watermarked digital facial portrait of the person, the digital facial portrait embedded with at least one digital watermark identifying payload data linking the digital facial portrait to the person portrayed in the digital facial portrait; receiving results of comparison between the digital facial portrait of the person and the person presenting the digitally watermarked digital facial portrait; retrieving the at least one digital watermark in response to receiving comparison results that the person portrayed in the digital facial portrait is the person presenting the digitally watermarked digital facial portrait; and determining that the digital facial portrait is authentic based on the retrieved at least one digital watermark.
G06F 21/64 - Protecting data integrity, e.g. using checksums, certificates or signatures
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
