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Proceedings Paper

Optoelectronic-based face recognition versus electronic PCA-based face recognition
Author(s): A. Alsamman
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Paper Abstract

Face recognition based on principal component analysis (PCA) using eigenfaces is popular in face recognition markets. In this paper we present a comparison between various optoelectronic face recognition techniques and principal component analysis (PCA) based technique for face recognition. Computer simulations are used to study the effectiveness of PCA based technique especially for facial images with a high level of distortion. Results are then compared to various distortion-invariant optoelectronic face recognition algorithms such as synthetic discriminant functions (SDF), projection-slice SDF, optical correlator based neural networks, and pose estimation based correlation.

Paper Details

Date Published: 23 October 2003
PDF: 7 pages
Proc. SPIE 5202, Optical Information Systems, (23 October 2003); doi: 10.1117/12.506973
Show Author Affiliations
A. Alsamman, Univ. of New Orleans (United States)


Published in SPIE Proceedings Vol. 5202:
Optical Information Systems
Bahram Javidi; Demetri Psaltis, Editor(s)

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