Application of Hidden Markov Model in On-line Recognition of Handwritten Tibetan Characters
Qian Jian-jun · Microelectronics & Computer · 2009
In order to solve Tibetan curve strokes to be quite many,is very common including the situation where the Tibetan character is written in a nonstop manner and many similar Tibetan characters in on-line recognition of handwritten Tibetan characters,we proposed a new method of on-line recognition of handwritten Tibetan characters:an on-line recognition of handwritten Tibetan characters method based on HMM classifiers. We designed three kinds of different HMM classifiers to distinguish Tibetan characters,the experimental results show that HMM-based classifiers on-line recognition of handwritten Tibetan characters has higher recognition rate,recognition rate of the first ten characters reach 93.9012%.