Modified maximum scatter-difference discriminant analysis and face recognition

被引：0

作者：

Liu, Yong-Jun ^{[1
,2
]}

Chen, Cai-Kou ^{[1
,3
]}

Wang, Zheng-Qun ^{[1
]}

机构：

[1] Department of Computer Science and Engineering, Yangzhou University, Yangzhou 225009, China

[2] Department of Software Engineering, Changshu Institute of Technology, Changshu 215500, China

[3] Department of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China

来源：

Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2008年 / 30卷 / 01期

关键词：

Database systems - Discriminant analysis - Feature extraction - Image processing - Pattern recognition;

D O I：

10.3724/sp.j.1146.2006.00811

中图分类号：

学科分类号：

摘要：

Cosidering the so-called 'Small Sample Size'(SSS) problem in nature and the 'inferior' problem in traditional Fisher linear discriminant analysis, a new method of feature extraction based on modified maximum scatter-difference criterion is developed in this paper. The method gives an effective way to resolve two difficulties of the traditional Fisher linear discriminant analysis theoretically in face recognition. Finally, extensive experiments performed on ORL and AR face database verify the effectiveness of the proposed method.

引用

下载

页码：190 / 193

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