Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26579
Title: Nonlinear DCT discriminant feature extraction with generalized KDCV for face recognition
Authors: Li, S
Yao, YF
Jing, XY
Shao, ZL
Zhang, D 
Yang, JY
Issue Date: 2008
Source: Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, 2008, v. 3, 4740014, p. 338-341 How to cite?
Abstract: A nonlinear DCT discriminant feature extraction approach for face recognition is proposed. First, we analyze the nonlinear discriminabilities of DCT frequency bands and select appropriate bands. Second, we extract nonlinear discriminant features from the selected DCT bands by presenting a new kernel discriminant method, i.e. generalized kernel discriminative common vector (KDCV) method. The experimental results on the Feret database demonstrate the effectiveness of this new approach.
Description: 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008, Shanghai, 21-22 December 2008
URI: http://hdl.handle.net/10397/26579
ISBN: 9780769534978
DOI: 10.1109/IITA.2008.187
Appears in Collections:Conference Paper

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