Fusion of Complementary Online and Offline Strategies for Recognition of Handwritten Kannada Characters

Rampalli, Rakesh and Ramakrishnan, Angarai Ganesan (2011) Fusion of Complementary Online and Offline Strategies for Recognition of Handwritten Kannada Characters. In: J.UCS Journal of Universal Computer Science, 17 (1). pp. 81-93.

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Abstract

This work describes an online handwritten character recognition system working in combination with an offline recognition system. The online input data is also converted into an offline image, and parallely recognized by both online and offline strategies. Features are proposed for offline recognition and a disambiguation step is employed in the offline system for the samples for which the confidence level of the classifier is low. The outputs are then combined probabilistically resulting in a classifier out-performing both individual systems. Experiments are performed for Kannada, a South Indian Language, over a database of 295 classes. The accuracy of the online recognizer improves by 11% when the combination with offline system is used.

Item Type:	Journal Article
Publication:	J.UCS Journal of Universal Computer Science
Publisher:	Springer
Additional Information:	Copyright of this article belongs to Springer.
Keywords:	Online handwriting recognition;Offline handwriting recognition;Classifier fusion;Kannada script;Re-sampling; Pen direction angle;Support vector machine;Spline curve; Directional distance distribution; Nearest stroke pixel; Transition count; Projection profiles; Principal component analysis; Mahalanobis distance
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	20 May 2011 06:49
Last Modified:	20 May 2011 06:49
URI:	http://eprints.iisc.ac.in/id/eprint/37675

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