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2007
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A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition

9 years 6 months ago
A Novel Null Space-Based Kernel Discriminant Analysis for Face Recognition
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetrical objects. In this paper, a novel null space kernel discriminant method based on the symmetrical method with a weighted fusion strategy is proposed for face recognition. It can effectively enhance the recognition performance and shares the advantages of Null-space, kernel and symmetrical methods. The experiment results on ORL database and FERET database demonstrate that the proposed method is effective and outperforms some existing subspace methods.
Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
Added 16 Aug 2010
Updated 16 Aug 2010
Type Conference
Year 2007
Where ICB
Authors Tuo Zhao, Zhizheng Liang, David Zhang, Yahui Liu
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