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
收藏
页码：804 / +
页数：2
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