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13 October 1998 Recent advances in pattern recognition using Fourier optics
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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 "Recent advances in pattern recognition using Fourier optics", Proc. SPIE 3467, Far- and Near-Field Optics: Physics and Information Processing, (13 October 1998); https://doi.org/10.1117/12.326840
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