Research on face recognition based on wavelet transform and PCA-ANN

被引：0

作者：

Yuanzhi, Wang ^{[1
]}

Xiao, Luo ^{[2
]}

机构：

[1] School of Computer and Information, Anqing Normal College, Anqing 246011, China

[2] School of Information and Engineering, Huzhou Teachers College, Huzhou 313000, China

来源：

Journal of Digital Information Management | 2012年 / 10卷 / 02期

关键词：

Principal component analysis - Radial basis function networks - Face recognition;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This paper mainly studies the basic theory and technology on the identification of people's faces. The better methods are chosen and a new method is proposed. It integrates three elements (Wavelet Transform, Principal Component Analysis, Artificial Neural Networks), and the method can recognize faces more effectively. Meanwhile, this method lessens the effect of light on face appearance. Experimental result indicates that our new face recognition system is effective in the aspects of both correct ratio and speed of distinguishing.

引用

页码：136 / 141

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