On-line Thai handwritten character recognition using hidden Markov model and fuzzy logic

被引：8
|
作者：
Budsayaplakorn, R [1 ]
Asdornwised, W [1 ]
Jitapunkul, S [1 ]
机构：
[1] Chulalongkorn Univ, Dept Elect Engn, Digital Signal Proc Res Lab, Bangkok, Thailand
来源：
2003 IEEE XIII WORKSHOP ON NEURAL NETWORKS FOR SIGNAL PROCESSING - NNSP'03 | 2003年
关键词：
D O I：
10.1109/NNSP.2003.1318053
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new on-line recognition of Thai handwritten characters. Active researches in Thai handwritten character recognition are converged into two distinct methods, HMM and Fuzzy logic classifier. The former showed poor recognition rate due to Thai fuzzy characters. The shortcoming of the latter is on difficulties in establishing the set of rules to cover a whole handwriting styles. Our method is proposed to exploit the best of two worlds(HMM and distinctive feature based Fuzzy classifier). The experimental results was shown an average recognition rate is improved from 89.1%(using HMM) to 91.2 using our proposed method.
引用
收藏
页码：537 / 546
页数：10
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