Matched spatial filtering by feature-extracted reference patterns using cross-correlated signals

Shun-ichi Kamemaru; Jun-ichi Yano; Hiroyasu Itoh

doi:10.1117/12.49705

1 November 1991 Matched spatial filtering by feature-extracted reference patterns using cross-correlated signals

Shun-ichi Kamemaru, Jun-ichi Yano, Hiroyasu Itoh

Proceedings Volume 1564, Optical Information Processing Systems and Architectures III; (1991) https://doi.org/10.1117/12.49705
Event: San Diego, '91, 1991, San Diego, CA, United States

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.

Citation Download Citation

Shun-ichi Kamemaru, Jun-ichi Yano, and Hiroyasu Itoh "Matched spatial filtering by feature-extracted reference patterns using cross-correlated signals", Proc. SPIE 1564, Optical Information Processing Systems and Architectures III, (1 November 1991); https://doi.org/10.1117/12.49705

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