Study on an approach of feature selection for similar handwritten Chinese characters recognition

被引：0
|
作者：
Feng, J [1 ]
Piao, CH [1 ]
Wang, YF [1 ]
机构：
[1] Shijiazhuang Railway Inst, Dept Comp Sci, Shijiazhuang 050043, Hebei Province, Peoples R China
来源：
ICIA 2004: Proceedings of 2004 International Conference on Information Acquisition | 2004年
关键词：
feature selectio; genetic algorithms (GA; similar Chinese characters; support vector machines (SVM); wavelet transform and elastic meshing;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A feature selection approach for similar handwritten Chinese characters recognition is presented in this paper, which is based on genetic algorithms and support vector machines classifier. The technique of combining wavelet transform with elastic meshing is employed for a given handwritten character to extract its feature. The optimal features are selected by genetic algorithms and the problem of determining partial space of similar characters automatically is solved. The experiment results confirm the conclusion that the generalization performance of cross-validation fitness measure is better than that of in-sample validation one.
引用
收藏
页码：380 / 383
页数：4
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