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Proceedings Paper

Overview of optical pattern recognition: progress and recent advances
Author(s): Francis T. S. Yu
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Paper Abstract

This article addresses the development and progress in the rapidly growing area of optical pattern recognition. In optical pattern recognition there are two basic approaches; namely, matched filtering and associative memories. The first employs optical correlators and the later uses neural networks. This paper reviews various types of optical correlators and neural networks as applied to real-time optical pattern recognition for which some of the recent advances are included.

Paper Details

Date Published: 1 April 1998
PDF: 8 pages
Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); doi: 10.1117/12.304969
Show Author Affiliations
Francis T. S. Yu, The Pennsylvania State Univ. (United States)


Published in SPIE Proceedings Vol. 3402:
Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks
Andrei L. Mikaelian, Editor(s)

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