为了解决联机手写藏文识别中藏文的曲线型笔划比较多,连笔情况很普遍以及相似字丁多等问题,提出了一种新的联机手写藏文识别方法:基于HMM分类器的联机手写藏文识别的方法.设计了三种不同的HMM分类器进行藏文字丁识别,实验结果表明,基于HMM分类器的联机手写藏文识别具有较高地识别率,前十位识别率可达93.9012%.
In order to solve Tibetan curve strokes to be quite many, is very common including the situation where the Ti- betan 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 recog- nition 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%.