DCT Based Null Space Method for Face Recognition

Author

Zhao, Chuanqiang ; Wang, Huiyuan ; Wu, Xiaojuan

Author_Institution

Shandong Univ., Jinan

Volume

2

fYear

2007

fDate

13-14 July 2007

Firstpage

1

Lastpage

3

Abstract

An improved null space LDA method based on discrete cosine transform (DCT) is proposed to solve both problems. First, by employing DCT instead of "pixel grouping" process and using different definition of the within-class scatter matrix, an improved null space method is proposed. Then, we combine this method with fractional-LDA (F-LDA) and an efficient new feature extraction algorithm to perform face recognition. Experimental results show that the proposed method achieves better performance than other existing ones.

Keywords

discrete cosine transforms; face recognition; feature extraction; matrix algebra; sampling methods; DCT based null space method; discrete cosine transform; face recognition; feature extraction algorithm; fractional-LDA; linear discriminant analysis; within-class scatter matrix; Data mining; Discrete cosine transforms; Discrete transforms; Face recognition; Image coding; Information science; Linear discriminant analysis; Null space; Principal component analysis; Scattering;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems, 2007. ISSCS 2007. International Symposium on

Conference_Location

Iasi

Print_ISBN

1-4244-0969-1

Electronic_ISBN

1-4244-0969-1

Type

conf

DOI

10.1109/ISSCS.2007.4292729

Filename

4292729