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Recognition-based segmentation of on-line cursive Korean characters

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3 Author(s)
Kee Chul Jung ; Dept. of Comput. Eng., Kyung Pook Nat. Univ., Taegu, South Korea ; Sang Kyoon Kim ; Hang Joon Kim

The Korean language has a large set of characters and many of them are very similar in shape. Therefore, it is very difficult to separate graphemes from a handwritten character without a contextual knowledge. In this paper, we propose a recognition-based stroke segmentation technique using grapheme as a recognition unit. Our method uses a time delay neural network recognition engine and a graph-algorithmic postprocessor based on the Korean grapheme composition rule and Viterbi algorithm. We experimented the proposed method on freely handwritten characters and the result obtained are given

Published in:

Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:6 )

Date of Conference:

Nov/Dec 1995