Character Segmentation on Printed Korean Document Images Using a Simplification of Projection Profiles 


Vol. 13,  No. 2, pp. 89-96, Apr.  2006
10.3745/KIPSTB.2006.13.2.89


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  Abstract

In this paper, we propose two approaches for the character segmentation on Korean document images. One is an improved version of a projection profile-based algorithm. It involves estimating the number of characters, obtaining the split points and then searching for each character's boundary, and selecting the best segmentation result. The other is developed for low quality document images where adjacent characters are connected. In this case, parts of the projection profile are cut to resolve the connection between the characters. This is called α-cut. Afterwards, the revised former segmentation procedure is conducted. The two approaches have been tested with 43,572 low-quality Korean word images printed in various font styles. The segmentation accuracies of the former and the latter are 91.81% and 99.57%, respectively. This result shows that the proposed algorithm using a α-cut is effective for low-quality Korean document images.

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[IEEE Style]

S. C. Park and S. H. Kim, "Character Segmentation on Printed Korean Document Images Using a Simplification of Projection Profiles," The KIPS Transactions:PartB , vol. 13, no. 2, pp. 89-96, 2006. DOI: 10.3745/KIPSTB.2006.13.2.89.

[ACM Style]

Sang Cheol Park and Soo Hyung Kim. 2006. Character Segmentation on Printed Korean Document Images Using a Simplification of Projection Profiles. The KIPS Transactions:PartB , 13, 2, (2006), 89-96. DOI: 10.3745/KIPSTB.2006.13.2.89.

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