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In this paper we propose a stroke recognition method for online handwritten Hangul recognition system. The proposed system extracts a distance-dependent curvature from two-dimensional original stroke data and achieves elastic matching between distance-dependent curvatures of reference and test characters. Elastic curvature matching has lower computational requirement than existing 2D-to-2D elastic...
An efficient method for online character recognition is suggested. It consists of two steps: curvature extraction and curvature matching. The online signal with a single stroke is a sequence of two-dimensional positional vectors whereas its curvature is one-dimensional. Elastic curvature matching is basically a 1D-to-1D matching problem between curvatures of reference and test characters, and one-dimensionality...
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