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Fast pattern recognition using a neurocomputer

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Abstract

This paper presents a new pattern recognition system based on moment invariants using a neurocomputer. The new pattern recognition system consists of a CCD video camera, an image processing system named FDM, a monitor, two stand lights, an NEC PC-9801 microcomputer and a RICOH RN-2000 neurocomputer; these two different types of computers can be considered to constitute an artificial brain. Experimental studies to recognize five dynamic patterns of Japanese chestnuts were performed. From the studies, a high speed of both learning and recognition has been achieved compared with the former pattern recognition system based on the software of artificial neural networks developed by us.

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Correspondence to Masanori Sugisaka.

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Sugisaka, M. Fast pattern recognition using a neurocomputer. Artificial Life and Robotics 1, 69–72 (1997). https://doi.org/10.1007/BF02471117

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  • DOI: https://doi.org/10.1007/BF02471117

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