Independent component analysis, principal component analysis and rough sets in face recognition

被引:0
|
作者
Swiniarski, RW
Skowron, A
机构
[1] San Diego State Univ, Dept Math & Comp Sci, San Diego, CA 92182 USA
[2] Polish Acad Sci, Inst Comp Sci, PL-01237 Warsaw, Poland
[3] Warsaw Univ, Inst Math, PL-02097 Warsaw, Poland
来源
TRANSACTIONS ON ROUGH SETS I | 2004年 / 3100卷
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The paper contains description of hybrid methods of face recognition which are based on independent component analysis, principal component analysis and rough set theory. The feature extraction and pattern forming from face images have been provided using Independent Component Analysis and Principal Component Analysis. The feature selection/reduction has been realized using the rough set technique. The face recognition system was designed as rough-sets rule based classifier.
引用
收藏
页码:392 / 404
页数:13
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