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23 October 2003 Optoelectronic-based face recognition versus electronic PCA-based face recognition
A. Alsamman
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Proceedings Volume 5202, Optical Information Systems; (2003) https://doi.org/10.1117/12.506973
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States
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.
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A. Alsamman "Optoelectronic-based face recognition versus electronic PCA-based face recognition", Proc. SPIE 5202, Optical Information Systems, (23 October 2003); https://doi.org/10.1117/12.506973
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KEYWORDS
Facial recognition systems
Principal component analysis
Databases
Optoelectronics
Distortion
Optical correlators
Computing systems
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