摘要
利用小波分析方法将汉字图象分解为横、撇、竖、捺４个方向的分量，然后结合弹性网格技术，提出了进行手写体汉字特征提取的一种新方法，实验结果显示此方法是行之有效的。
In this paper, we propose a new feature extraction method for handwritten Chinese character recognition. A Chinese character image is decomposed into four directional subimages based on the analysis of its wavelet transform. With elastic meshing technique, features are extracted from the four subimages respectively. Experimental results show that the proposed approach is very effective.
出处
《中国图象图形学报（A辑）》
CSCD
1998年第7期549-552,共4页
Journal of Image and Graphics
基金
广东省自然科学基金
华南理工大学自然科学基金
关键词
小波变换
手写体汉字识别
特征提取
弹性网络
Wavelet transform
Handwritten Chinese character recognition
Feature extraction
Elastic meshes
