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Proceedings Paper

Novel block segmentation and processing for Chinese-English document
Author(s): Bing-Shan Chien; Bor-Shenn Jeng; San-Wei Sun; Gan-How Chang; Keh-Hwa Shyu; Chun-Hsi Shih
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Paper Abstract

The block segmentation and block classification of digitized printed documents segmented into regions of texts, graphics, tables, and images are very important in automatic document analysis and understanding. Conventionally, the constrained run length algorithm (CRLA) has been proposed to segment digitized documents, however, it is space-consuming and time- consuming. The CRLA method must define some constrained parameters, so it cannot proceed automatically, and its performance may degrade significantly due to improper parameters. This paper proposes an efficient and effective method for document analysis, sequence connected segmentation and mapping matrix cell algorithm (SCSMMC). This method can analyze both simple and complex documents automatically and it need not define any constraint parameters. This method, which only needs one-reading image of document, can proceed completely and the techniques of segmentation, classification, labeling, and character segmentation proceed at the same time. The proposed document analysis method may also combine with the optical character recognizer to form an adaptive document understanding system.

Paper Details

Date Published: 1 November 1991
PDF: 11 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50377
Show Author Affiliations
Bing-Shan Chien, Ministry of Communications (Taiwan)
Bor-Shenn Jeng, Ministry of Communications (Taiwan)
San-Wei Sun, Ministry of Communications (Taiwan)
Gan-How Chang, Ministry of Communications (Taiwan)
Keh-Hwa Shyu, Ministry of Communications (Taiwan)
Chun-Hsi Shih, Ministry of Communications (Taiwan)

Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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