Face Recognition Algorithm Combined with DCT, PCA and BPNN

被引：0
|
作者：
Yang, Guoliang [1 ]
Xu, Lina [2 ]
机构：
[1] Jiangxi Univ Sci & Technol, Sch Elect Engn & Automat, Ganzhou 341000, Jiangxi, Peoples R China
[2] Shanghai Univ, Inst Commun & Informat Engn, Shanghai 200072, Peoples R China
来源：
2012 IEEE FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2012年
关键词：
EIGENFACES;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper provides an integrated algorithm to deal with face recognition. It uses discrete cosine transform and principal component analysis to reduce dimensions and extract face features, and then trains and tests face images through the BP neural network classifier. It also seeks for other method such as the nearest neighbor classifier to have a comparison with BP neural network. Simulation result shows the effectiveness of this algorithm.
引用
收藏
页码：682 / 685
页数：4
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