Current Issue Cover
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1, 彭秀兰1, 尹俊勋1(华南理工大学电子与通信工程系,广州 510641)

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

()

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.
Keywords

订阅号|日报