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Optical Engineering

Intelligent radical-based on-line Chinese character recognition system
Author(s): Chao-Hao Lee; Bor-Shenn Jeng; Hon-Fai Yau; Pei-Yih Ting; Shyh-Rong Lay; Chien-Cheng Tseng
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Paper Abstract

An intelligent radical-based on-line Chinese character recognition (OLCCR) system is proposed. We make use of the characteristic that most Chinese characters possess radicals and develop a radicalbased preclassification technique. In the procedure of recognizing radicals, potential candidate radicals are identified from an input character first and then matched with radical templates. Based on the matched radicals, corresponding candidate characters with a smaller matching distance are thus identified. Postprocessing, which utilizes the information of the first and last stable line segments, is incorporated to improve the recognition accuracy. Experiments are carried out to evaluate the performance of the proposed OLCCR system and the average recognition rate is improved from 96.06 to 96.52% if only the first winner is selected and the average recognition time is shortened by about 44%.

Paper Details

Date Published: 1 October 1996
PDF: 11 pages
Opt. Eng. 35(10) doi: 10.1117/1.600990
Published in: Optical Engineering Volume 35, Issue 10
Show Author Affiliations
Chao-Hao Lee, National Central Univ. (Taiwan)
Bor-Shenn Jeng, MOTC (Taiwan)
Hon-Fai Yau, National Central Univ. (Taiwan)
Pei-Yih Ting, MOTC (Taiwan)
Shyh-Rong Lay, MOTC (Taiwan)
Chien-Cheng Tseng, MOTC (Taiwan)

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