Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers

Joshi, N and Sita, G and Ramakrishnan, AG and Madhvanath, S (2004) Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers. [Book Chapter]

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Abstract

In this paper, we report the results of recognition of online handwritten Tamil characters. We experimented with two different approaches. One is subspace based method wherein the interactions between the features in the feature spate are assumed to be linear. In the second approach, we investigated an elastic matching technique using dynamic programming principles. We compare the methods to find their suitability for an on-line form-filling application in writer dependent, independent and adaptive scenarios. The comparison is in terms of average recognition accuracy and the number of training samples required to obtain an acceptable performance. While the first criterion evaluates effective recognition capability of a scheme, the second one is important for studying the effectiveness of a scheme in real time applications. We also perform error analysis to determine the advisability of combining the classifiers.

Item Type:	Book Chapter
Series.:	Lecture Notes in Computer Science
Publisher:	Springer-Verlag Berlin.
Additional Information:	Copyright of this article belongs to Springer-Verlag Berlin.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	19 Dec 2008 18:36
Last Modified:	19 Sep 2010 04:56
URI:	http://eprints.iisc.ac.in/id/eprint/17332

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