A SVM-based method for face recognition using a wavelet PCA representation of faces

Author

Safari, Majid ; Harandi, Mehrtash T. ; Araabi, Babak N.

Author_Institution

Dept. of Electr. & Comput. Eng., Tehran Univ., Iran

Volume

2

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

853

Abstract

This paper proposes a new method of face representation which is used for face recognition by SVM. For face representation we have used a two-step method, first two-dimensional discrete wavelet transform (DWT) is used to transform the faces to a more discriminated space and then principal component analysis (PCA) is applied. The proposed method produced a significant improvement which includes a substantial reduction in error rate and in time of processing during the obtaining PCA orthonormal basis.

Keywords

discrete wavelet transforms; face recognition; image classification; image representation; principal component analysis; support vector machines; DWT; PCA; SVM; face recognition; face representation; principal component analysis; support vector machines; two-dimensional discrete wavelet transform; Authentication; Face recognition; Feature extraction; Humans; Image recognition; Independent component analysis; Linear discriminant analysis; Principal component analysis; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2004. ICIP '04. 2004 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-8554-3

Type

conf

DOI

10.1109/ICIP.2004.1419433

Filename

1419433