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Proceedings Paper

Matched spatial filtering by feature-extracted reference patterns using cross-correlated signals
Author(s): Shun-ichi Kamemaru; Jun-ichi Yano; Hiroyasu Itoh
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Paper Abstract

In this paper, a hybrid pattern recognition system is described that is based on a matched spatial filter (MSF) synthesized by feature-extracted reference patterns. Some features are extracted from test objects by computer simulations to find the optimum reference patterns for the filter. Through more than 30 simulations, four best patterns are chosen for recognition of 10 kinds of digits by the MSF. In the system, recognition is performed not by conventional autocorrelation peaks but by cross correlation signals because reference patterns for the filter are not exactly the same as the input unknown. The proposed system shows good feasibility for feature extracted pattern recognition.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1564, Optical Information Processing Systems and Architectures III, (1 November 1991); doi: 10.1117/12.49705
Show Author Affiliations
Shun-ichi Kamemaru, Ibaraki Univ. (Japan)
Jun-ichi Yano, Ibaraki Univ. (Japan)
Hiroyasu Itoh, Ibaraki Univ. (Japan)


Published in SPIE Proceedings Vol. 1564:
Optical Information Processing Systems and Architectures III
Bahram Javidi, Editor(s)

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