NDLI: Face identification using the magnitude and the phase of Gabor wavelets and PCA

Content Provider	IEEE Xplore Digital Library
Author	Bellakhdhar, F. Bousselmi, M. Abid, M.
Copyright Year	2012
Description	Author affiliation: University of Sfax, National Engineering School of Sfax, Tunisia, Computer Embeded System (Bellakhdhar, F.; Bousselmi, M.; Abid, M.)
Abstract	Face recognition has a wide range of possible applications in surveillance, access control, human computer interfaces and in electronic marketing and advertising for selected customers. Several models based on Gabor feature extraction have been proposed for face recognition with very good results on internationally available face databases. In this paper, we propose a methodological improvement to increase face recognition rate by fusing the phase and magnitude of Gabor's representations of the face as a new representation, in the place of the raster image. Although the Gabor representations were largely used, particularly in the algorithms based on global approaches, the Gabor phase was never exploited. We use a face recognition algorithm, based on the principal component Analysis approach. In the proposed algorithm, the global information is extracted using Eigenface. The resulted vector feature is classified using Euclidian distance. The performance of the proposed algorithm is tested on the public and largely used databases of FRGCv2 face and ORL databases. Experimental results on databases show that the combination of the magnitude with the phase of Gabor features can achieve promising results.
Starting Page	244
Ending Page	249
File Size	1078714
Page Count	6
File Format	PDF
ISBN	9781467315180
e-ISBN	9781467315203
DOI	10.1109/ICMCS.2012.6320273
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-10
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Face Image recognition Databases Computers Principal component analysis Algorithm design and analysis Gabor Biometrics Principal components Analysis Eigen face Identification of the face
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
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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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