Invariant handwritten Chinese character recognition

被引：0
|
作者：
Liu, JNK [1 ]
Lee, RST [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Peoples R China
来源：
ICONIP'98: THE FIFTH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING JOINTLY WITH JNNS'98: THE 1998 ANNUAL CONFERENCE OF THE JAPANESE NEURAL NETWORK SOCIETY - PROCEEDINGS, VOLS 1-3 | 1998年
关键词：
Dynamic Link Architecture; genetic algorithm; neural networks;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A model based on the hybridization of genetic algorithm (GA) with dynamic link Architecture is presented for the off-line handwritten Chinese character recognition. Using a pattern sample of 100 handwritten Chinese characters with 400 handwritten testing samples for various invariant tests including translation, rotation, reflection, and distortion, an overall 20% improvement of correct recognition rate has been attained, giving a correct recognition rate has been attained, giving a correct recognition rate of 90% for the translation transformation.
引用
收藏
页码：275 / 278
页数：4
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