Research on Face Recognition based on Boolean Kernel SVM

被引：4
|
作者：
Cui, Kebin [1 ]
Han, Feng [1 ]
Wang, Ping [1 ]
机构：
[1] N China Elect Power Univ, Sch Comp Sci & Technol, Baoding 071003, Hebei, Peoples R China
来源：
ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ICNC.2008.721
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For the problem of face recognition, a recognizing strategies based on Boolean kernel function SVM is Proposed. Firstly, Karhunen-Loeve transform is employed to get the representation basis of face image set, secondly, the extracted characteristics is translated into 0-1 format, thirdly, SVM based Boolean kernel function are used to classify. The face recognition experiment with ORL face databases shows that the proposed method led to significantly better recognition accuracy compared with traditional PCA method and linear SVM.
引用
收藏
页码：148 / 152
页数：5
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