A recognition algorithm of facial image based on wavelet subbands and decision fusion

Author

Shen, Yongzeng ; Chen, Yong ; Feng, Hao ; He, Tongneng

Author_Institution

Zhejiang Univ. of Technol., Hangzhou, China

Volume

5

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

2956

Abstract

A recognition algorithm of facial image based on wavelet subbands and decision fusion is discussed in this paper. In this algorithm, wavelet transform is used to decompose facial image into suitable levels of four subbands and then the traditional principal component analysis (PCA) or 2-D Fourier transform (spectroface algorithm) is performed on these four subbands. At last, a decision fusion method is used to get the last result. By comparing with traditional PCA algorithm, PCA algorithm using single wavelet subband and spectroface algorithm, the conclusion is that the algorithm based on wavelet subbands and decision fusion is effective.

Keywords

Fourier transforms; decision theory; face recognition; principal component analysis; wavelet transforms; 2D Fourier transform; PCA algorithm; decision fusion; facial image decomposition; facial image recognition algorithm; principal component analysis; spectroface algorithm; wavelet subbands; wavelet transform; Covariance matrix; Eigenvalues and eigenfunctions; Face detection; Face recognition; Facial features; Humans; Image recognition; Principal component analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1260080

Filename

1260080