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Performance of invariant face recognition techniques
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Paper Abstract

In this paper we present a comparison between four invariant face recognition techniques: synthetic discriminant function (SDF) based recognition, projection-slice SDF based recognition, optoelectronic correlator based neural network, and pose estimation based recognition. The pose estimation technique does not involve composite image generation and is most successful of these techniques mainly due to its success in maintaining a low interclass crosscorrelation. The optoelectronic fringe-adjusted joint transform correlator (JTC) is used to provide correlation. A description of the optoelectronic system and the simulation results are provided.

Paper Details

Date Published: 27 November 2002
PDF: 10 pages
Proc. SPIE 4789, Algorithms and Systems for Optical Information Processing VI, (27 November 2002); doi: 10.1117/12.450852
Show Author Affiliations
Abdul Rahman Alsamman, Univ. of New Orleans (United States)
Mohammad S. Alam, Univ. of South Alabama (United States)

Published in SPIE Proceedings Vol. 4789:
Algorithms and Systems for Optical Information Processing VI
Bahram Javidi; Demetri Psaltis, Editor(s)

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