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Proceedings Paper

High performance and fast face recognition technique based on components of phases of face images
Author(s): Naser Zaeri; Abdallah Cherri
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Paper Abstract

Most of the algorithm proposed for face recognition involve considerable amount of computations and hence they cannot be used on devices constrained with limited memory. In this paper, we propose a novel solution for efficient face recognition for systems which are charactered with small memory devices and demand fast performance. By dividing the face images into components, the scheme finds the discriminant phases of the Fourier transform of these components of face images. The discriminant phases are found by using linear discriminant analysis (LDA) to obtain a system that matches the criteria imposed by devices of limited memory and requiring fast recognition. Note that since the effects of face variation within an image are reduced when the image is divided into components, then the performance of the system is enhanced. Compared to spatial domain analysis, it will be shown that the use of component in the frequency domain produces better recognition performance. A thorough study and comprehensive experiments relating time consumption and computational complexity versus system performance are presented. The proposed technique increases the face recognition rate and at the same time achieves substantial saving in the computational time, when compared to other known systems. The experimental results reveal that a recognition rate of ≥99% is achieved, when applied to two independent and well known databases.

Paper Details

Date Published: 13 April 2009
PDF: 8 pages
Proc. SPIE 7340, Optical Pattern Recognition XX, 73400Q (13 April 2009); doi: 10.1117/12.818126
Show Author Affiliations
Naser Zaeri, Kuwait Univ. (Kuwait)
Abdallah Cherri, Kuwait Univ. (Kuwait)

Published in SPIE Proceedings Vol. 7340:
Optical Pattern Recognition XX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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