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Gabor Wavelets Transform and Extended Nearest Feature Space Classifier for Face Recognition
Jianke Zhu; Mang I Vai; Peng Un Mak
2004-12-01
Conference NameThird International Conference on Image and Graphics (ICIG'04)
Source PublicationProceedings - Third International Conference on Image and Graphics
Pages246-249
Conference Date18-20 Dec. 2004
Conference PlaceHong Kong, China
CountryChina
PublisherIEEE
Abstract

This paper proposes new hybrid approaches for face recognition. Gabor wavelets representation of face images is an effective approach for both facial action recognition and face identification. Perform dimensionality reduction and linear discriminant analysis on the downsampled Gabor waveletfaces can increase the discriminant ability. Nearest feature space is extended to various similarity measures. In our experiments, proposed Gabor waveletfaces combined with extended nearest feature space classifier shows very good performance, which can achieve 99 % maximum correct recognition rate on ORL data set without any preprocessing step. 

DOIhttps://doi.org/10.1109/ICIG.2004.71
URLView the original
Language英语
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Document TypeConference paper
专题DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
AffiliationDepartment of Electrical and Electronics Engineering, Faculty of Science and Technology University of Macau, Macau SAR, PR. China
First Author AffilicationFaculty of Science and Technology
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GB/T 7714
Jianke Zhu,Mang I Vai,Peng Un Mak. Gabor Wavelets Transform and Extended Nearest Feature Space Classifier for Face Recognition[C]:IEEE,2004:246-249.
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