Fusion study on optical correlation pattern recognition and neural networks

YanXin Zhang

doi:10.1117/12.354733

19 July 1999 Fusion study on optical correlation pattern recognition and neural networks

YanXin Zhang

Proceedings Volume 3749, 18th Congress of the International Commission for Optics; (1999) https://doi.org/10.1117/12.354733
Event: ICO XVIII 18th Congress of the International Commission for Optics, 1999, San Francisco, CA, United States

Abstract

From the view point of neural networks (NNs) the present problems of optical correlation pattern recognition (OCPR) are analyzed. It is shown that distortion invariant pattern recognition (DIPR) can not be performed with a single filter within the framework of OCPR. By means of fusion between OCPR and NNs some solutions to an effective optical DIPR are proposed.

Citation Download Citation

YanXin Zhang "Fusion study on optical correlation pattern recognition and neural networks", Proc. SPIE 3749, 18th Congress of the International Commission for Optics, (19 July 1999); https://doi.org/10.1117/12.354733

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