NDLI: Face Recognition Based on Adaptively Weighted Gabor-LDA

Content Provider	IEEE Xplore Digital Library
Author	Weisheng Li Wanli Cheng
Copyright Year	2008
Description	Author affiliation: Inst. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing (Weisheng Li; Wanli Cheng)
Abstract	A novelty method of face recognition based on adaptively weighted Gabor linear discriminant analysis (Gabor-LDA) is presented. First, the coefficients of Gabor wavelet transform deriving from a face image are taken as eigenvectors. And then an improved algorithm of principal component analysis (PCA) is proposed. This improved PCA is used to decrease the dimension of the eigenvector. A weight is given to each vector according to the distance between the eigenvector and the others in the same class. The new class means are calculated by the weighted of eigenvectors. The within-class scatter matrix and between-class scatter are reconstructed through the new class means, then the LDA discriminate function is improved. The problem of the class mean of training samples deviates from the center of this class in small samples size case is resolved by this improved LDA discriminate function. The experiment shows that a higher recognition result is obtained in the Yale face databases.
Starting Page	130
Ending Page	134
File Size	500622
Page Count	5
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.260
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Face recognition Scattering Humans Face detection Image reconstruction Gabor wavelet LDA classifier fusion adaptively weighted face recognition Feature extraction Frequency Linear discriminant analysis Principal component analysis
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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