MCLRNN Model for Online Handwritten Tibetan Character Recognition Based on Stroke Characteristics
- Wang Weilan, Chen Wan-jun
- Computer Engineering and Applications. 2008.Vol…
An online handwriting Tibetan character recognition scheme of syllable-base association is proposed in the paper. First basic characteristics of the Tibetan language of letter, character, syllable and word are explained, and the different writing styles are introduced as well. At the some time, character’s characteristics as recognition unit in our study are analyzed. In the proposed syllable association scheme, not only recognition speed but also recognition veracity is separately improved after isolated character recognized in our online handwriting Tibetan character recognition system. The research show, if adopt effectual method to improve the recognition rate of isolated character, the method will bring into play a more efficiency.