Title :
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
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;
Conference_Titel :
Security Technology, 2000. Proceedings. IEEE 34th Annual 2000 International Carnahan Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-5965-8
DOI :
10.1109/CCST.2000.891164
