Dynamic Space Warping Of Strokes For Recognition Of Online Handwritten Characters

Sen, Amrik and Ananthakrishnan, G and Sundaram, Suresh and Ramakrishnan, AG (2009) Dynamic Space Warping Of Strokes For Recognition Of Online Handwritten Characters. In: 13th Conference of the International-Graphonomics-Society Melbourne, NOV 11-14, 2007, Melbourne, Austrlia, pp. 925-943.

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Abstract

This paper suggests a scheme for classifying online handwritten characters, based on 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 different datasets of characters.

Item Type:	Conference Paper
Publication:	INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Publisher:	World Scientific Publ Co Pte Ltd
Additional Information:	Copyright for this article belongs to World Scientific Publishing.
Keywords:	Online character recognition; dynamic space warping; perceptual shape
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	21 Dec 2009 10:35
Last Modified:	19 Sep 2010 05:44
URI:	http://eprints.iisc.ac.in/id/eprint/22949

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