Comparison of feature extraction techniques in automatic face recognition systems for security applications

Author

Cruz-Llanas, S. ; Ortega-García, J. ; Martínez-Torrico, E. ; Gonzalez-Rodríguez, J.

Author_Institution

EUIT Telecomunicacion, Univ. Politecnica de Madrid, Spain

fYear

2000

fDate

2000

Firstpage

40

Lastpage

46

Abstract

The paper is aimed at analyzing the performance of two different state-of-the-art automatic face recognition systems. One of the key issues regarding face recognition is the election of convenient features for representing identity in facial images. Multivariate analysis and Gabor analysis are alternative methods for accomplishing this feature extraction stage. Consequently, two different approaches to the face recognition problem, one based on multivariate analysis, the other on Gabor analysis, are proposed. A brief review of the theoretical foundations of both systems, together with some tests conducted for comparison, are addressed

Keywords

biometrics (access control); face recognition; feature extraction; Gabor analysis; automatic face recognition systems; feature extraction techniques; multivariate analysis; performance analysis; security applications; Face recognition; Feature extraction; Humans; Nearest neighbor searches; Pattern recognition; Performance analysis; Pixel; Principal component analysis; Security; Telecommunications;

fLanguage

English

Publisher

ieee

Conference_Titel

Security Technology, 2000. Proceedings. IEEE 34th Annual 2000 International Carnahan Conference on

Conference_Location

Ottawa, Ont.

Print_ISBN

0-7803-5965-8

Type

conf

DOI

10.1109/CCST.2000.891164

Filename

891164