Character recognition by feature extraction using cross-correlation    signals from a matched filter

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

doi:10.1117/12.60071

1 January 1993 Character recognition by feature extraction using cross-correlation signals from a matched filter

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

Author Affiliations +

Optical Engineering, Vol. 32, Issue 1, (January 1993). https://doi.org/10.1117/12.60071

Abstract

A hybrid pattern recognition system is described. It is based on a matched spatial filter (MSF) synthesized not by conventional template-matching patterns but by feature-extracted reference patterns. Some features are extracted from target objects used to recognize unknown objects. The optimum reference patterns for the filter are selected according to computer simulations. Through more than 30 simulations, four best patterns are chosen for recognition of 10 kinds of digits by the MSF. Recognition is performed not by conventional autocorrelation peaks but by cross-correlation signals because the reference patterns are not wholly the same as the input. The proposed system shows feasibility for feature-extracted pattern recognition using the multiplexed MSF.

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Shun-ichi Kamemaru, Haruyasu Itoh, and Jun-ichi Yano "Character recognition by feature extraction using cross-correlation signals from a matched filter," Optical Engineering 32(1), (1 January 1993). https://doi.org/10.1117/12.60071

Published: 1 January 1993

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