一种手写体汉字特征提取新方法—小波变换及弹性网络技术的应用

金连文; 彭秀兰; 尹俊勋

doi:10.11834/jig.199807178

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专辑

一种手写体汉字特征提取新方法—小波变换及弹性网络技术的应用
A New Feature Extraction Approach to Handwritten Chinese Character Based on Wavelet Transform and Elastic Meshing Techniques
1998年3卷第7期页码：549
纸质出版：1998
DOI： 10.11834/jig.199807178
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金连文, 彭秀兰, 尹俊勋. 一种手写体汉字特征提取新方法—小波变换及弹性网络技术的应用[J]. 中国图象图形学报, 1998,3(7):549. DOI： 10.11834/jig.199807178.

A New Feature Extraction Approach to Handwritten Chinese Character Based on Wavelet Transform and Elastic Meshing Techniques[J]. Journal of Image and Graphics, 1998, 3(7): 549. DOI： 10.11834/jig.199807178.

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，然后结合弹性网络技术，提出了进行了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。

Abstract

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.