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Proceedings Paper

Intelligent-based optical Chinese character recognition system by using integrated character segmentation and text compression techniques
Author(s): Dung-Ming Shieh; Ming-Wen Chang; Bing-Shan Chien; Bor-Shenn Jeng; Shih Hua Wu
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Paper Abstract

This paper presents a method dealing with mixed character segmentation. Conventionally, the region-based approach has been proposed to process the mixed character segmentation , but failure may occur due to some English lettters’ block size which is similar to that of Chinese characters. And also some Chinese characters which are composed of two or three parts will be recognized as two or three English letters. In this paper, we propose an intelligent method to overcome this difficulty. It is the integrated region-based and recognition-based approach. Furthermore, we assume the internal code of character to be the source symbol for coding. So if there are some characters which appear in the text repeatedly, then we will remove the redundancy by compressing text according to the algorithm of Lempel-Ziv coding.

Paper Details

Date Published: 12 January 1993
PDF: 11 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139088
Show Author Affiliations
Dung-Ming Shieh, National Central Univ. (Taiwan)
Ming-Wen Chang, National Central Univ. (Taiwan)
Bing-Shan Chien, National Central Univ. (Taiwan)
Bor-Shenn Jeng, National Central Univ. (Taiwan)
Shih Hua Wu, National Central Univ. (Taiwan)

Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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