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Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV
Sheng LI Yong-fang YAO Xiao-yuan JING Heng CHANG Shi-qiang GAO David ZHANG Jing-yu YANG
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2009/12/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Pattern Recognition
DCT frequency bands selection, the improved KDCV, nonlinear DCT feature extraction, face recognition,
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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.