NDLI: A Gabor feature classifier for face recognition

Content Provider	IEEE Xplore Digital Library
Author	Chengjun Liu Wechsler, H.
Copyright Year	2001
Description	Author affiliation: Dept. of Math. & Comput. Sci., Missouri Univ., St. Louis, MO, USA (Chengjun Liu)
Abstract	This paper describes a novel Gabor feature classifier (GFC) method for face recognition. The GFC method employs an enhanced Fisher discrimination model on an augmented Gabor feature vector, which is derived from the Gabor wavelet transformation of face images. The Gabor wavelets, whose kernels are similar to the 2D receptive field profiles of the mammalian cortical simple cells, exhibit desirable characteristics of spatial locality and orientation selectivity. As a result, the Gabor transformed face images produce salient local and discriminating features that are suitable for face recognition. The feasibility of the new GFC method has been successfully tested on face recognition using 600 FERET frontal face images, which involve different illumination and varied facial expressions of 200 subjects. The effectiveness of the novel GFC method is shown in terms of both absolute performance indices and comparative performance against some popular face recognition schemes such as the eigenfaces method and some other Gabor wavelet based classification methods. In particular, the novel GFC method achieves 100% recognition accuracy using only 62 features.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Pattern Anal. & Machine Intelligence
Starting Page	270
Ending Page	275
File Size	810816
Page Count	6
File Format	PDF
ISBN	0769511430
DOI	10.1109/ICCV.2001.937635
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-07
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Kernel Computer science Testing Lighting Principal component analysis Linear discriminant analysis Independent component analysis Wavelet analysis Image recognition
Content Type	Text
Resource Type	Article

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