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Proceedings Paper

General class of invariant quadratic filters for optical pattern recognition
Author(s): Gregory O. Gheen
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Paper Abstract

A general class of distortion invariant quadratic filter is developed for optical pattern recognition. It produces an equal response to a set of training images while maximizing the normalized response. Different forms of the filter are obtained by constraining the filter to operate on different linear subspaces of the input signal. These subspaces can be used to represent constraints due to system components or they can represent feature spaces which model the internal structure of certain types of signals. The proposed quadratic filter can be mapped onto a variety of different optical processor architecwres providing a general framework for developing optical processors for pattern classification.

Paper Details

Date Published: 1 March 1994
PDF: 8 pages
Proc. SPIE 2237, Optical Pattern Recognition V, (1 March 1994); doi: 10.1117/12.169430
Show Author Affiliations
Gregory O. Gheen, Lockheed Missiles & Space Co., Inc. (United States)


Published in SPIE Proceedings Vol. 2237:
Optical Pattern Recognition V
David P. Casasent; Tien-Hsin Chao, Editor(s)

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