9 November 1993 Pattern recognition system by a matched spatial filter and neural networks for imperfect input characters
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Abstract
A hybrid pattern recognition system using a matched spatial filter and neural networks is described. In the system, a multiplexed matched spatial filter synthesized by feature-extracted reference patterns is used for optical processing and an algorithm of a neural network is used for digital processing. The concept of the neural is based on an associative memory. It enables the system to recognize unknown input patterns with slightly different shapes from the reference patterns, which we could not distinguish by a conventional matched spatial filter. Using the system, imperfect input letters such as given by poor printing are fairly recognized as well as the perfect ones are recognized.
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Shun-ichi Kamemaru, Tsutomu Baba, "Pattern recognition system by a matched spatial filter and neural networks for imperfect input characters", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163572; https://doi.org/10.1117/12.163572
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