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Author Cruz-Llanas, S. ♦ Ortega-Garcia, J. ♦ Martinez-Torrico, E. ♦ Gonzalez-Rodriguez, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2000
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Computer programming, programs & data ♦ Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Feature extraction ♦ Face recognition ♦ Pattern recognition ♦ Security ♦ Humans ♦ Nearest neighbor searches ♦ Principal component analysis ♦ Pixel ♦ Telecommunications ♦ Performance analysis
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.
Description Author affiliation: EUIT Telecomunicacion, Univ. Politecnica de Madrid, Spain (Cruz-Llanas, S.)
ISBN 0780359658
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-10-25
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 717.65 kB
Page Count 7
Starting Page 40
Ending Page 46


Source: IEEE Xplore Digital Library