Nonlinear DCT Discriminant Feature Extraction with Generalized KDCV for Face Recognition

Author

Li, Sheng ; Yao, Yong-Fang ; Jing, Xiao-Yuan ; Shao, Zhu-li ; Zhang, David ; Yang, Jing-Yu

Author_Institution

Nanjing Univ. of Posts & Telecommun., Nanjing

Volume

3

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

338

Lastpage

341

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.

Keywords

discrete cosine transforms; face recognition; feature extraction; vectors; Feret database; face recognition; generalized KDCV; kernel discriminative common vector; nonlinear DCT discriminant feature extraction; Discrete cosine transforms; Face recognition; Feature extraction; Filtering; Frequency; Image analysis; Image databases; Kernel; Linear discriminant analysis; Spatial databases; discrete cosine transform (DCT); face recognition; generalized KDCV method; nonlinear DCT discriminant feature extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3497-8

Type

conf

DOI

10.1109/IITA.2008.187

Filename

4740014