Off-line handwritten Chinese character recognition with Hidden Markov Models

被引：0
|
作者：
Feng, B [1 ]
Ding, XQ [1 ]
机构：
[1] Tsing Hua Univ, Dept Elect Engn, Image Proc Div, Beijing 100084, Peoples R China
来源：
2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III | 2000年
关键词：
off-line handwritten Chinese character; recognition; Hidden Markov Models; vector quantization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Off-line handwritten Chinese character recognition is one of the most difficult tasks of optical character recognition because of complexity of patterns, large quantity of class, many uncertainties, etc. Hidden Markov Model (HMM) method achieve great success in the field of speech recognition in the past decades. It also exhibits its potential advantage in degraded text and handwritten character recognition. We present a modeling and recognizing method of off-line handwritten Chinese character with Hidden Markov Models and its experimental result in this paper.
引用
收藏
页码：1542 / 1545
页数：4
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