Research on Face Recognition Based on PCA

被引：5
|
作者：
Duan, Hong [1 ]
Yan, Ruohe [1 ]
Lin, Kunhui [1 ]
机构：
[1] Xiamen Univ, Software Sch, Xiamen 361005, Fujian, Peoples R China
来源：
2008 INTERNATIONAL SEMINAR ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/FITME.2008.115
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Principal Components Analysis(PCA) is a basic method widely used in face feature extraction and recognition. In order to overcome the shortcoming of absent consideration of the between-class information and the defect of the inconvenient update of the eigen-space in the traditional PCA method, this paper proposed a cluster-based feature projection method The method enlarges the difference of samples in the different classes, while the difference of the same classes is reduced. Experimental results on ORL face database show that the method has higher correct recognition rate and higher recognition speeds than traditional PCA algorithm.
引用
收藏
页码：29 / 32
页数：4
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