The Contourlet Transfrom and SVM Classification for Face Recognition

Author

Wang, Yi ; Li, Jian-ping ; Lin, Jie ; Liu, Lin

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2008

fDate

13-15 Dec. 2008

Firstpage

208

Lastpage

211

Abstract

In this paper, we introduce a face recognition approach based on the contourlet transform and support vector machine, which takes technological advantages of both support vector machine and the contourlet transform for feature extraction. The contributions of this paper include the following aspects: (1) support vector machine is successfully applied to face recognition by using the contourlet transform as the face representation in face image processing phase; (2) the contourlet transform are used to represent a whole face in a computable dimensional space. The new method was evaluated with many experiments, and the experimental results show that our face recognition algorithm is effective and competitive.

Keywords

face recognition; feature extraction; image classification; image representation; support vector machines; wavelet transforms; SVM classification; contourlet transform; face image processing; face recognition; face representation; feature extraction; support vector machine; Discrete transforms; Discrete wavelet transforms; Face detection; Face recognition; Feature extraction; Image representation; Intelligent robots; Support vector machine classification; Support vector machines; Wavelet transforms; The contourlet transform; face recognition algorithm; support vector machine (SVM);

fLanguage

English

Publisher

ieee

Conference_Titel

Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3427-5

Electronic_ISBN

978-1-4244-3426-8

Type

conf

DOI

10.1109/ICACIA.2008.4770006

Filename

4770006