NDLI: Selection algorithm of Gabor Kernel for face recognition

Content Provider	IEEE Xplore Digital Library
Author	Li Xiao-Dong Yuan Wei
Copyright Year	2012
Description	Author affiliation: School of Information, Linyi University, Linyi 276005, China (Yuan Wei) \|\| School of Logistics, Linyi University, Linyi 276005, China (Li Xiao-Dong)
Abstract	Because the fact that Gabor feature are redundant and too high-dimensional, appropriate feature dimension reduction appears to be much more necessary. To address this problem, a novel optimal selection method of Gabor kernels' scales and orientation is proposed. In this method, all training samples are convolved with each Gabor kernel. Within-class distance and between-class distance calculation are performed on these convolution results, respectively. At last, the optimal Gabor kernel is selected based on the ratio of the Within-class distance and the between-class distance. The Gabor Kernel corresponding to the largest ratio is the optimal one. To prove the advantages of proposed method, extensive experiments are conducted on popular face databases such as YALE, AR, FERET. The experiment results shows that the proposed method is effective and the features in the larger scales as well as the features in several orientations have more discriminative power.
Starting Page	3839
Ending Page	3843
File Size	379916
Page Count	5
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Training Databases Convolution Face recognition Face Gabor kernel Kernel dimension reduction
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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