Face Recognition Using Improved Null Space Method Based on DCT

Zhao Chuan-qiang; Wang Hui-yuan; Wu Xiao-juan

doi:10.3724/SP.J.1146.2006.01959

Volume 30 Issue 7

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(7): 1708-1712

Zhao Chuan-qiang, Wang Hui-yuan, Wu Xiao-juan. Face Recognition Using Improved Null Space Method Based on DCT[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1708-1712. doi: 10.3724/SP.J.1146.2006.01959

Citation:

Zhao Chuan-qiang, Wang Hui-yuan, Wu Xiao-juan. Face Recognition Using Improved Null Space Method Based on DCT[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1708-1712. doi: 10.3724/SP.J.1146.2006.01959

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Face Recognition Using Improved Null Space Method Based on DCT

doi: 10.3724/SP.J.1146.2006.01959

Received Date: 2006-12-13
Rev Recd Date: 2007-09-28
Publish Date: 2008-07-19

Abstract

Abstract

Linear Discriminant Analysis(LDA) is one of the most popular linear projection techniques for feature extraction. The major drawback of applying LDA is that it often encounters the Small Sample Size(SSS) problem. Besides, their optimization criteria is not directly related to the classification accuracy. In this paper, an improved null space LDA method based on DCT is proposed to solve both problems. First, by employing the DCT instead of the pixel grouping and redefining the within class scatter matrix, a new null space method is given. Then, combining this method with F-LDA an efficient new feature extraction algrithm is proposed for face recognition. Experimental results show that this method achieves better performance than existing ones.

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References(1)

References

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