NDLI: Spectaculars face classification by using locality preserving projections

Content Provider	IEEE Xplore Digital Library
Author	Udhayakumar, M. Sidharth, S.G. Deepak, S. Arunkumar, M.
Copyright Year	2014
Description	Author affiliation: Dept. of ECE, Bannari Amman Inst of Technol., Erode, India (Udhayakumar, M.; Sidharth, S.G.; Deepak, S.; Arunkumar, M.)
Abstract	Face recognition and feature detection plays a vital role in various applications such as human computer interaction, face tracking, video surveillance and face recognition. Efficient face recognition algorithms are required for applying to those tasks. Recently face recognition is attracting a big attention in the social application and also authentication. Face recognition makes hackers virtually impossible to break one's “password”, but also increases the user- friendliness in human-computer interaction. Face recognition systems are now refill the need for security. The face recognition system is proving to be very efficient security in the system authentication. Face recognition technology has to perform for identify the face recognition. To verify it for authentication claims. By advancing future extraction methods and dimensionality reduction methods in the application and number of face the feature recognition systems has been developed with distinct degrees of success. Recent researches show that high dimensional face images lie on or close to a low dimensional manifold. But LPP is a widely used manifold reduced dimensionality technique.LPP preserve the local structure of face image space which is usually more significant than the global structure preserved by principal component analysis (PCA) and linear Discriminant analysis (LDA). A Graphical User Interface (GUI) has been implemented to show various aspects of locality preserving projection.
Starting Page	1
Ending Page	4
File Size	281731
Page Count	4
File Format	PDF
e-ISBN	9781479923526
DOI	10.1109/ICCCI.2014.6921737
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-03
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Manifolds Principle Component Analysis Laplace equations Locality preserving projections Face recognition Linear Discriminant Analysis Face Kernel Principal component analysis Eigen values
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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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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