Efficient Form Document Classification Large using Partial Matching Method


The KIPS Transactions:PartB , Vol. 8, No. 1, pp. 1-9, Feb. 2001
10.3745/KIPSTB.2001.8.1.1,   PDF Download:

Abstract

In this paper, we are proposing an efficient method of classifying form that is applicable in real life. Our method identifies a small number of matching areas by their distinctive images with respect to their layout structure and then by using a DP (Dynamic Programming) matching to match only these local regions. The penalty for each local area is computed by using the pre-printed text, filled-in data, and the size of the local area to prevent extracting erroneous lines. Our approach of searching and matching only a small number of structurally distinctive local regions would overcome the problems caused by the lengthy computation time and low recognition rate.


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Cite this article
[IEEE Style]
Y. C. Byun, Y. W. Choi, G. H. Kim, Y. B. Lee, "Efficient Form Document Classification Large using Partial Matching Method," The KIPS Transactions:PartB , vol. 8, no. 1, pp. 1-9, 2001. DOI: 10.3745/KIPSTB.2001.8.1.1.

[ACM Style]
Yung Cheol Byun, Yeong Woo Choi, Gyeong Hwan Kim, and Yill Byung Lee. 2001. Efficient Form Document Classification Large using Partial Matching Method. The KIPS Transactions:PartB , 8, 1, (2001), 1-9. DOI: 10.3745/KIPSTB.2001.8.1.1.