NDLI: Adaptively Weighted 2DPCA Based on Local Feature for Face Recognition

Content Provider	IEEE Xplore Digital Library
Author	Qian Xu Wei Deng
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou (Qian Xu; Wei Deng)
Abstract	Two dimensional principal component analysis (2DPCA) extracts the global feature of human face, but the local feature is very important to face recognition. In this paper, adaptively weighted 2DPCA based on local feature is proposed. It combines above approaches through separating original images into multi-blocks. Firstly, the face image is separated into three independent sub-blocks according to the local features. Secondly, 2DPCA is applied to the sub-blocks independently. Then the method adaptively computes the contributions made by each sub-block and endows them to the classification in order to improve the recognition performance. The experiments on the ORL and Yale face databases demonstrate the proposed methodpsilas effectiveness and feasibility.
Starting Page	76
Ending Page	79
File Size	408290
Page Count	4
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.897
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	Eyes Face recognition Humans global feature Covariance matrix Pattern recognition Face detection Nose Mouth face recognition local feature Feature extraction Two dimensional principal component analysis Principal component analysis
Content Type	Text
Resource Type	Article

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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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