The Geometric Layout Analysis of the Document Image Using Connected Components Method and Median Filter 


Vol. 27,  No. 8, pp. 805-813, Aug.  2002


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  Abstract

Document image should be classified into detailed regions as text, picture, table and etc through the geometric layout analysis if paper documents can be converted automatically into electronic documents. However, complexity of the document layout and variety of the size and density of a picture are the reason to make it difficult to analyze the geometric layout of the document images.
In this paper, we propose the method which have a better performance of the region segmentation and classification, and the line extraction in the table region than the commercial softwares and previous methods. The proposed method can segment the document into detailed regions by using connected components method even if its layout is complex. This method also classifies texts and pictures by using separable median filter even though their size and density are diverse, In addition, this method extracts the lines from the table adapting one dimensional median filter to the each horizontal and vertical direction, even though lines are deformed or texts attached to them.

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  Cite this article

[IEEE Style]

D. Jang and C. Hwang, "The Geometric Layout Analysis of the Document Image Using Connected Components Method and Median Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 8, pp. 805-813, 2002. DOI: .

[ACM Style]

Dae-geun Jang and Chan-sik Hwang. 2002. The Geometric Layout Analysis of the Document Image Using Connected Components Method and Median Filter. The Journal of Korean Institute of Communications and Information Sciences, 27, 8, (2002), 805-813. DOI: .

[KICS Style]

Dae-geun Jang and Chan-sik Hwang, "The Geometric Layout Analysis of the Document Image Using Connected Components Method and Median Filter," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 8, pp. 805-813, 8. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880