An automatic face recognition system based on wavelet transforms

Author

Amira, A. ; Farrell, P.

Author_Institution

Sch. of Comput. Sci., Queen´´s Univ., Belfast, UK

fYear

2005

fDate

23-26 May 2005

Firstpage

6252

Abstract

Face recognition is emerging as an active research area spanning several disciplines, such as image processing, pattern recognition, computer vision and neural networks. Face recognition technology has numerous commercial and law enforcement applications. The paper presents an automatic system based on wavelet transforms for face recognition. A range of wavelet decompositions, together with different threshold types and segmentation algorithms, has been implemented in order to investigate the best performances. Haar, Gabor and 9/7 wavelet filters have been implemented as part of the proposed algorithms due to their simplicity, suitability and regularity for face recognition using multiresolution approaches.

Keywords

Haar transforms; face recognition; feature extraction; filtering theory; image segmentation; wavelet transforms; Gabor filters; Haar wavelet filters; Haar wavelet transform; automatic face recognition system; computer vision; face features extraction; image processing; multiresolution approaches; neural networks; pattern recognition; segmentation algorithms; wavelet decomposition; wavelet transforms; Application software; Computer vision; Face recognition; Gabor filters; Image processing; Image segmentation; Law enforcement; Neural networks; Pattern recognition; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on

Print_ISBN

0-7803-8834-8

Type

conf

DOI

10.1109/ISCAS.2005.1466069

Filename

1466069