This paper suggests a scheme for classifying online handwritten characters, based ond dynamic space warping of strokes within the characters. A method for segmenting components into strokes using velocity proﬁles is proposed. Each stroke is a simple arbitrary shape and is encoded using three attributes. Correspondence between various strokes is established using Dynamic Space Warping. A distance measure which reliably diﬀerentiates between two corresponding simple shapes (strokes) has been formulated thus obtaining a perceptual distance measure between any two characters. Tests indicate an accuracy of over 85% on two deferent datasets of characters.
Added on September 25, 2014
Product Type : Research Paper
License Type : Freeware
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Author : AMRIK SEN, G. ANANTHAKRISHNAN, SURESH SUNDARAM, A. G. RAMAKRISHNAN