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1 April 1998 Overview of optical pattern recognition: progress and recent advances
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francis T. S. Yu "Overview of optical pattern recognition: progress and recent advances", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304969
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