Online recognition of cursive Korean characters using dynamic programming matching and fuzzy concepts

This paper proposes an on-line recognition method of cursive Korean characters based on dynamic programming (DP) matching and fuzzy concept. The proposed algorithm, invariant to rotation and size, reduces greatly the computational requirement of DP matching by matching phonemes rather than character patterns, where the angle difference and the ratio of lengths between input and reference patterns are adopted as matching features. Correct matching of poorly-written cursive characters becomes possible by introducing the fuzzy concept in representing phoneme features and the positional relationships between adjacent phonemes. Computer simulation results show the effectiveness of the proposed algorithm.