AN APPROACH FOR ACTIVE SEGMENTATION OF UNCONSTRAINED HANDWRITTEN KOREAN STRINGS USING RUN-LENGTH CODE

Jason JeongSuk YOON and Gyeonghwan KIM

Dept. of Electronic Engineering, Sogang University
CPO Box 1142, Seoul 100-611 Korea
E-mail: jasonyoon@ieee.org, gkim@ccs.sogang.ac.kr

We propose an active handwritten Hangul segmentation method. A manageable structure based on Run-length code is defined in order to apply to preprocessing and segmentation. Also three fundamental candidate estimation functions are in- troduced to detect the clues on touching points, and the classification of touching types is attempted depending on the structural peculiarity of Hangul. Our experiments show segmentation performance of 88.2% on touching characters with minimal over-segmentation.

In: L.R.B. Schomaker and L.G. Vuurpijl (Eds.)
Proceedings of the Seventh International Workshop on Frontiers
in Handwriting Recognition, September 11-13 2000, Amsterdam,
Nijmegen: International Unipen Foundation,
ISBN 90-76942-01-3
pp. 511-516.