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Resolving Ambiguities in Confused Online Tamil Characters with Post Processing Algorithms

Ramakrishnan, AG and Sundaram, Suresh (2009) Resolving Ambiguities in Confused Online Tamil Characters with Post Processing Algorithms. In: 3rd International Conference on Pattern Recognition and Machine Intelligence, DEC 16-20, 2009, IIT Delhi, pp. 406-413.

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Official URL: http://www.springerlink.com/content/3731v3u676012g...

Abstract

This paper addresses the problem of resolving ambiguities in frequently confused online Tamil character pairs by employing script specific algorithms as a post classification step. Robust structural cues and temporal information of the preprocessed character are extensively utilized in the design of these algorithms. The methods are quite robust in automatically extracting the discriminative sub-strokes of confused characters for further analysis. Experimental validation on the IWFHR Database indicates error rates of less than 3 % for the confused characters. Thus, these post processing steps have a good potential to improve the performance of online Tamil handwritten character recognition.

Item Type: Conference Paper
Additional Information: Copyright of this article belongs to Springer.
Keywords: Confusion Pairs;Sub stroke Extraction and analysis;Fourier Descriptors;Online handwritten character recognition
Department/Centre: Others
Date Deposited: 12 Jul 2010 11:22
Last Modified: 12 Jul 2010 11:22
URI: http://eprints.iisc.ernet.in/id/eprint/28985

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