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Optical Engineering

Optical character recognition with feature extraction and associative memory matrix
Author(s): Osami Sasaki; Akihito Shibahara; Takamasa Suzuki
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Paper Abstract

A method is proposed in which handwritten characters are recognized using feature extraction and an associative memory matrix. In feature extraction, simple processes such as shifting and superimposing patterns are executed. A memory matrix is generated with singular value decomposition and by modifying small singular values. The method is optically implemented with two liquid crystal displays. Experimental results for the recognition of 26 handwritten alphabet characters clearly show the effectiveness of the method.

Paper Details

Date Published: 1 June 1998
PDF: 7 pages
Opt. Eng. 37(6) doi: 10.1117/1.601832
Published in: Optical Engineering Volume 37, Issue 6
Show Author Affiliations
Osami Sasaki, Niigata Univ. (Japan)
Akihito Shibahara, Niigata University (Japan)
Takamasa Suzuki, Niigata Univ. (Japan)

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