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Proceedings Paper

Face recognition using a non-zero-order correlation plane and a nonlinear joint transform correlator
Author(s): A. Alfalou; Nesrine Ben-Haj-Yahia; M. Elbouz; M. S. Alam
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Paper Abstract

For face recognition applications, it is necessary to have a robust discrimination system. In this paper, a new method for denoising the correlation plane and removing the zero-order term associated with alternate joint transform correlator (JTC) architectures such as the nonlinear JTC (NJTC) and nonlinear non-zero-order JTC (NNJTC) is proposed. The proposed technique is called nonlinear denoised JTC (NDJTC) which incorporates the attractive features of NJTC and NNJTC to ensure good compromise between discrimination and robustness while denoising the correlation plane. To investigate the performance of the proposed technique, various tests are performed using the PHPID face database and the results demonstrate excellent behavior of the proposed NDJTC. In this technique, the zero-order term and the impact of noise in the correlation plane were removed leading to increased robustness and discrimination ability of the NJTC. To confirm these results, different comparisons were performed using a NJTC and a NNJTC. Finally, a study using different levels of nonlinearity was conducted to find the best compromise between robustness and discrimination ability of the proposed method.

Paper Details

Date Published: 15 October 2012
PDF: 7 pages
Proc. SPIE 8498, Optics and Photonics for Information Processing VI, 84981A (15 October 2012); doi: 10.1117/12.981868
Show Author Affiliations
A. Alfalou, ISEN Brest (France)
Nesrine Ben-Haj-Yahia, ISEN Brest (France)
M. Elbouz, ISEN Brest (France)
M. S. Alam, Univ. of South Alabama (United States)

Published in SPIE Proceedings Vol. 8498:
Optics and Photonics for Information Processing VI
Abdul A. S. Awwal; Khan M. Iftekharuddin, Editor(s)

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