NDLI: Memory efficient face recognition using Compressed Phase Component

Content Provider	IEEE Xplore Digital Library
Author	Zaeri, N.
Copyright Year	2009
Description	Author affiliation: Faculty of Computer Studies, Arab Open University - Kuwait, P O Box 3322, Safat 13033, Kuwait (Zaeri, N.)
Abstract	Most of current algorithms for face recognition involve considerable amount of computations and hence they cannot be used on devices constrained with limited speed and memory. In this paper, we propose a novel solution for efficient face recognition problem for the systems that utilize small memory devices and demand fast performance. The new technique divides the face images into components and finds the discriminant phases of the Fourier transform of these components. The discriminant phases are found by the implementation of linear discriminant analysis (LDA) technique. Further, those discriminant phases are compressed to obtain a system that matches the criteria imposed by devices of limited memory and requiring fast recognition. The results show that in comparison with the use of spatial domain, compressed components frequency domain produces better and faster recognition performance for different range of compression ratios.
Starting Page	41
Ending Page	44
File Size	127437
Page Count	4
File Format	PDF
ISBN	9789537044107
ISSN	13342630
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-28
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Croatian Society Electronic
Subject Keyword	Image coding Image recognition Fourier transforms Databases Compression ratio Face recognition Space technology Data compression Linear discriminant analysis Computational complexity Phase component Frequency domain 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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