Filter Synthesis Using Neural Networks

Lennart A. Saaf; G. Michael Morris

doi:10.1117/12.961608

25 October 1989 Filter Synthesis Using Neural Networks

Lennart A. Saaf; G. Michael Morris;

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Proceedings Volume 1134, Optical Pattern Recognition II; (1989) https://doi.org/10.1117/12.961608
Event: 1989 International Congress on Optical Science and Engineering, 1989, Paris, France

Abstract

We are investigating an opto-electronic implementation of a trainable pattern classification system based on a feed-forward neural network model. An architecture with two layers of interconnections is used to transform a large amount of scene information to a small feature space that is, in turn, transformed into classification data. By using two layers of interconnections the number of large inner products that must be calculated may be significantly reduced. Simulations have been performed on a digital computer that demonstrate the performance of a system for the rotation-invariant classification of printed characters. A possible optical implementation is outlined.

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Lennart A. Saaf, G. Michael Morris, "Filter Synthesis Using Neural Networks", Proc. SPIE 1134, Optical Pattern Recognition II, (25 October 1989); doi: 10.1117/12.961608; https://doi.org/10.1117/12.961608

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