Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11991
Title: Face recognition based on nonlinear DCT discriminant feature extraction using improved kernel DCV
Authors: Li, S
Yao, YF
Jing, XY
Chang, H
Gao, SQ
Zhang, D 
Yang, JY
Keywords: DCT frequency bands selection
Face recognition
Nonlinear DCT feature extraction
The improved KDCV
Issue Date: 2009
Source: IEICE Transactions on information and systems, 2009, v. E92-D, no. 12, p. 2527-2530 How to cite?
Journal: IEICE Transactions on Information and Systems 
Abstract: 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.
URI: http://hdl.handle.net/10397/11991
ISSN: 0916-8532
DOI: 10.1587/transinf.E92.D.2527
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