Research on the Table Vectorization in the Document Image


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 3, No. 5, pp. 1147-1159, Sep. 1996
10.3745/KIPSTE.1996.3.5.1147,   PDF Download:

Abstract

In this paper, we develop an efficient algorithm which vectorize the table input for mixed document recognition system. It is necessary to separate character and line for recognizing the character in the table. For recognizing table, we have to recognize the character which is blocked by table line and develop the efficient vectorzation method for table line. For vectorizing table, we develop several methods. The first method is ti extract table line part using 8-direction chain codes. The second method is to extract horizontal and vertical lines using histogram of lines. The third one is to extract diagonal lines of table by using the cross points of horizontal and vertical lines. Finally we also develop the table vectorization method which finds the regularity characteristics of horizontal and vertical lines composing table. In this paper, we suggest a regularity method for efficient table vectorization.


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Cite this article
[IEEE Style]
K. W. Sung, S. J. Bo, P. Y. Bhum, M. K. Ae, J. S. Yeong, "Research on the Table Vectorization in the Document Image," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 3, no. 5, pp. 1147-1159, 1996. DOI: 10.3745/KIPSTE.1996.3.5.1147.

[ACM Style]
Kim Woo Sung, Shim Jin Bo, Park Yong Bhum, Moon Kyeong Ae, and Ji Soo Yeong. 1996. Research on the Table Vectorization in the Document Image. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 3, 5, (1996), 1147-1159. DOI: 10.3745/KIPSTE.1996.3.5.1147.