NDLI: Face recognition by fiducial point analysis

Content Provider	IEEE Xplore Digital Library
Author	Ersi, E.F. Hajebi, K.
Copyright Year	2003
Description	Author affiliation: Dept. of Comput. Eng., Azad Univ. of Mashad, Iran (Ersi, E.F.; Hajebi, K.)
Abstract	In this paper we present a hybrid method for face recognition task, which covers both the important information in the high order relationships among the image pixels and low dimensional representation of the image. This system is feature based, and analyzes local facial features, which are located by a meta-version of the sparsification algorithm in the context of LFA (local feature analysis) technique. The LFA sparsification strategy reduces the dimensionality of the representation by choosing a subset of output points that are as decorrelated as possible. Since choosing different set of points for each image, will make a problem in recognition, we determined a single set of points for all images which called fiducial points, and propose a method based on genetic algorithm to find them in any face image. After extracting fiducial points, we describe each of them with a set of Gabor coefficients to make a unique ID for each new face.
Starting Page	1187
Ending Page	1190
File Size	245509
Page Count	4
File Format	PDF
ISBN	0780377818
ISSN	08407789
DOI	10.1109/CCECE.2003.1226110
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-04
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Principal component analysis Facial features Algorithm design and analysis Image recognition Pattern analysis Genetic algorithms Feature extraction Image analysis Pixel
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

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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
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