Face Recognition Based on 2DPCA under NMSE Rule and RBF Neural Network

被引：1

作者：

Luo, Renze ^{[1
]}

Ran, Ruisheng ^{[2
]}

Wang, Ruyan ^{[3
]}

机构：

[1] UESTC, Zhongshan Inst, Dept Elect Engn, Zhongshan, Peoples R China

[2] CISDI Engn Co LTD, Automat Dept, Chongqing, Peoples R China

[3] Chongqing Univ Posts Telecommunicat, Div Commun & Informat Engn, Chongqing, Peoples R China

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND COMPUTER SCIENCE, VOL III | 2009年

关键词：

2DPCA; the rule of MMSE; face recognition;

D O I：

10.1109/ETCS.2009.715

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, based on the rule of minimal mean square error(MMSE), a method for face image feature extraction-2DPCA, is presented. Meanwhile, in theory, it is firstly proved that face feature extraction of 2DPCA ensures the energy lost is minimal and this method is reasonable; Then, RBF neural network is used to classify the test image. Experiment results show that, for the given threshold, the recognition rate of 2DPCA is about 95% and compared with PCA, much less running time is required for 2DPCA.

引用

页码：804 / +

页数：2

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