Modified Maximum Scatter-difference Discriminant Analysis and Face Recognition

Liu Yong-jun; Chen Cai-kou; Wang Zheng-qun

doi:10.3724/SP.J.1146.2006.00811

Volume 30 Issue 1

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(1): 190-193

Liu Yong-jun, Chen Cai-kou, Wang Zheng-qun . Modified Maximum Scatter-difference Discriminant Analysis and Face Recognition[J]. Journal of Electronics & Information Technology, 2008, 30(1): 190-193. doi: 10.3724/SP.J.1146.2006.00811

Citation:

Liu Yong-jun, Chen Cai-kou, Wang Zheng-qun . Modified Maximum Scatter-difference Discriminant Analysis and Face Recognition[J]. Journal of Electronics & Information Technology, 2008, 30(1): 190-193. doi: 10.3724/SP.J.1146.2006.00811

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Modified Maximum Scatter-difference Discriminant Analysis and Face Recognition

doi: 10.3724/SP.J.1146.2006.00811

Received Date: 2006-06-12
Rev Recd Date: 2007-04-02
Publish Date: 2008-01-19

Abstract

Abstract

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.

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References

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