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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 of curvature makes the matching problem more quick and easy than 2D-to-2D matching. We show the results obtained from applying it to online digit recognition and discuss them.