Journal
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
Volume E92D, Issue 12, Pages 2527-2530Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
DOI: 10.1587/transinf.E92.D.2527
Keywords
DCT frequency bands selection; the improved KDCV; nonlinear DCT feature extraction; face recognition
Funding
- National Natural Science Foundation of China (NSFC) [60772059]
- Natural Science Research Foundation of Jiangsu Province Universities [07KJB520081]
- Research Foundation of Nanjing University of Posts and Telecommunications [NY207027, NY208051]
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This letter proposes a nonlinear DCT discriminant feature extraction approach for face recognition. The proposed approach first selects appropriate DCT frequency bands according to their levels of nonlinear discrimination. Then, this approach extracts nonlinear discriminant features from the selected DCT bands by presenting a new kernel discriminant method, i.e. the improved kernel discriminative common vector (KDCV) method. Experiments on the public FERET database show that this new approach is more effective than several related methods.
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