NDLI: Efficient face recognition with compensation for aging variations

Content Provider	IEEE Xplore Digital Library
Author	Nayak, J.S. Indiramma, M.
Copyright Year	2012
Description	Author affiliation: Dept. of Computer Science and Engineering, BMS College of Engineering, Bangalore, India (Nayak, J.S.; Indiramma, M.)
Abstract	Face recognition is identifying a person based on facial characteristics. Automated face recognition is identifying a given query face called probe from a target population known as gallery. The face recognition algorithms perform well when the interpersonal images have more discriminating features than intra personal images. The changes in the face bring down the similarity of the intrapersonal images. The variations in the face can be due to pose, expression, illumination changes and aging of a person. Face recognition accuracy is largely influenced by the age related changes in face. Aging effects on face are not uniform and depend on both intrinsic as well as external factors like geographic location, race, food habits etc. The facial changes are exclusive for each person in spite of aging being an apparent phenomenon among all individuals. Hence there are many challenges still open in compensating age related variations. In this paper we have proposed a novel self-PCA based approach in order to consider distinctiveness of the effects of aging of a person for age invariant face recognition. The region around the eyes is used as the input feature instead of the entire face as it is more stable part of the face with respect to aging and also requires less space. The proposed approach is tested using the images of the FG-NET database.
Starting Page	1
Ending Page	5
File Size	931173
Page Count	5
File Format	PDF
ISBN	9781467355834
e-ISBN	9781467355841
DOI	10.1109/ICoAC.2012.6416839
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Databases Face recognition Age invariant face recognition Aging Self-PCA Vectors Periocular region Face Principal component analysis
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
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