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Optical Engineering

Optical Chinese Character Recognition Using Accumulated Stroke Features
Author(s): Bor-Shenn Jeng
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Paper Abstract

An intelligent optical Chinese character recognition system using accumulated stroke features has been developed to solve the input problem of Chinese characters. The hardware architecture of the system is built on an IBM PC-AT with three extension boards: the preprocessor board, the feature extraction board, and the matching recognition board. The system can recognize, at the same time in the same program, either printed or handwritten Chinese characters of different styles and sizes. At present, a total of 5401 commonly used Chinese characters can be recognized. Results show that 99% of printed characters and 90% of constrained handwritten characters can be correctly recognized, at a speed of about 300 characters per minute.

Paper Details

Date Published: 1 July 1989
PDF: 7 pages
Opt. Eng. 28(7) doi: 10.1117/12.7977035
Published in: Optical Engineering Volume 28, Issue 7
Show Author Affiliations
Bor-Shenn Jeng, National Central University (Taiwan)


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