Face Recognition Based on Wavelet Neural Network

被引：0

作者：

Zhang, Hong ^{[1
]}

机构：

[1] Heilongjiang Bayi Agr Univ, Coll Arts & Sci, Harbin, Peoples R China

来源：

ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7 | 2011年 / 204-210卷

关键词：

Pattern recognition; face recognition; wavelet transform; BP neural networks;

D O I：

10.4028/www.scientific.net/AMR.204-210.216

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Its well known that the technology of human face recognition has become a hot topicin pattern recognition field. Though a lot of progress has been made by many researchersthese years, many key problems still have to be solved in order to popularize the application of face recognition because of the complexity of face recognition. The background, development and main methods of face recognition are introducedfirstly in this paper, then a face recognition method which is based on wavelet transform,KL transform and BP neural networks is used in the paper. Here the face feature extraction includes wavelet transform and KL transform. Moreover,the recognition classifier is BP neural networks. The simulation testing in the paper holds good recognition rate.

引用

页码：216 / 219

页数：4