Intelligent-based optical Chinese character recognition system by using integrated character segmentation and text compression techniques

Dung-Ming Shieh; Ming-Wen Chang; Bing-Shan Chien; Bor-Shenn Jeng; Shih Hua Wu

doi:10.1117/12.139088

12 January 1993 Intelligent-based optical Chinese character recognition system by using integrated character segmentation and text compression techniques

Dung-Ming Shieh, Ming-Wen Chang, Bing-Shan Chien, Bor-Shenn Jeng, Shih Hua Wu

Author Affiliations +

Proceedings Volume 1771, Applications of Digital Image Processing XV; (1993) https://doi.org/10.1117/12.139088
Event: San Diego '92, 1992, San Diego, CA, United States

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.

Citation Download Citation

Dung-Ming Shieh, Ming-Wen Chang, Bing-Shan Chien, Bor-Shenn Jeng, and Shih Hua Wu "Intelligent-based optical Chinese character recognition system by using integrated character segmentation and text compression techniques", Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); https://doi.org/10.1117/12.139088

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