Murthy, Venkatesh Narasimha and Ramakrishnan, Angarai Ganesan (2011) Choice of Classifiers in Hierarchical Recognition of Online Handwritten Kannada and Tamil Aksharas. In: J.UCS Journal of Universal Computer Science, 17 (1). pp. 94-106.
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In this paper, we propose a novel dexterous technique for fast and accurate recognition of online handwritten Kannada and Tamil characters. Based on the primary classifier output and prior knowledge, the best classifier is chosen from set of three classifiers for second stage classification. Prior knowledge is obtained through analysis of the confusion matrix of primary classifier which helped in identifying the multiple sets of confused characters. Further, studies were carried out to check the performance of secondary classifiers in disambiguating among the confusion sets. Using this technique we have achieved an average accuracy of 92.6% for Kannada characters on the MILE lab dataset and 90.2% for Tamil characters on the HP Labs dataset.
| Item Type: | Journal Article |
|---|---|
| Publication: | J.UCS Journal of Universal Computer Science |
| Publisher: | Springer |
| Additional Information: | Copyright of this article belongs to Springer. |
| Keywords: | Handwritten character recognition;DTW;PCA;Hierarchical Classification;Kannada;Tamil |
| Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
| Date Deposited: | 20 May 2011 06:47 |
| Last Modified: | 20 May 2011 06:47 |
| URI: | http://eprints.iisc.ac.in/id/eprint/37676 |
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