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Proceedings Paper

Feature enhancement and similarity suppression algorithm for noisy pattern recognition
Author(s): Epaminondas Stamos; David R. Selviah
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Paper Abstract

A novel feature enhancement and similarity suppression algorithm is presented. This algorithm can be used for training matched filter based optical pattern recognition systems or for the correct recovery of noisy images from optical memories such as optical disks. The underlying theory and the results from computer simulations using human faces are presented. Some preliminary results have shown high probability of recognition in pattern recognition tests using the training data.

Paper Details

Date Published: 23 March 1998
PDF: 8 pages
Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); doi: 10.1117/12.304763
Show Author Affiliations
Epaminondas Stamos, Univ. College London (United Kingdom)
David R. Selviah, Univ. College London (United Kingdom)

Published in SPIE Proceedings Vol. 3386:
Optical Pattern Recognition IX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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