Abstract

A handwriting numbered musical notation recognition system includes: a coding rules database; a music file database for storing a large numbers of music expression files which are collected and edited by computer used formats; a conversion unit for converting music expression files into numbered musical notation files; a handwriting database for storing relations between music symbols and handwriting trace data for numbered musical notations, and a handwriting combination unit connected to the handwriting trace database and the numbered musical notation coding sequences database; and a handwriting numbered musical notation recognition model used for recognition of the handwriting sequence. The music creation can be easily retained by electronic forms, while the creators still can create his (or her) music creations by handwriting. Furthermore, the recognition of the present invention supports the use of MusicXML formats, MIDI formats, or other computer formats.

IPC Classes  ?

• G10H 1/00 - Details of electrophonic musical instruments
• G06V 30/12 - Detection or correction of errors, e.g. by rescanning the pattern
• G06V 30/304 - Music notations

Abstract

A handwriting text recognition system based on neural network includes a stroke input processor for receiving tracks of online handwriting texts, a string database for storing a large amount of the tracks; a word recognition neural network; and an after-processor being connected to the string database and the output interface of the text recognition neural network; The handwriting text recognition system based on neural network provides higher rates of confidences. Some natural languages frequently used all over the world can be recognized with a higher accuracy (including languages written from right to left and from left to right). The association relations between the input strokes and the character strings can be provided. It could support any strokes with irregular written orders.

IPC Classes  ?

• G06V 30/226 - Character recognition characterised by the type of writing of cursive writing
• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks