一种手写体汉字特征提取新方法——小波变换及弹性网格技术的应用  

A New Feature Extraction Approach to Handwritten Chinese Character Based on Wavelet Transform and Elastic Meshing Techniques

作　　者：金连文[1] 彭秀兰[1] 尹俊勋[1] 

机构地区：[1]华南理工大学电子与通信工程系

出　　处：《中国图象图形学报（A辑）》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

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 subimages based on the analysis of its wavelet transform. With elastic meshing technique, features are extracted from the four subimages respectively. Experimental results show that the proposed approach is very effective.

关 键 词：小波变换 手写体汉字识别 特征提取 弹性网络 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]