Online cursive hangul character recognition based on dynamic programming
Jungpil Shin · 2002
In this paper a new algorithm for the on-line recognition of cursive Korean characters (hangul) is investigated for the problem of searching the segmentation points to divide the phonemes. The segmentation points searching is systematically performed by two-level DP matching algorithm, that is, one algorithm targets the phoneme unit level, and the other the whole character unit level. Based on the composition characteristics of hanguls, effective syntax is introduced as part of the character level process. Fine discrimination is effectively realized for both phonemes and characters including the individual information of each stroke and mutual information among strokes. Experiments demonstrate real time feasibility, high recognition and segmentation performance.