Active-DTW : A Generative Classifier that combines Elastic Matching with Active Shape Modeling for Online Handwritten Character Recognition

Abstract : Developing handwriting recognition systems that are fast and highly reliable is a challenging problem that has become increasingly relevant following the broad acceptance of hand-held devices that use pen based handwriting inputs. Generative classifiers offer a promising solution in combination with discriminative classifiers for addressing this challenge. This paper describes a novel generative classifier - Active-DTW, that combines Active Shape Models with Elastic Matching. Experimental results show that the Active-DTW classifier shows substantial promise as a generative classifier.
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Communication dans un congrès
Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006
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https://hal.inria.fr/inria-00104782
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Soumis le : lundi 9 octobre 2006 - 14:01:15
Dernière modification le : jeudi 28 décembre 2017 - 13:58:02
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  • HAL Id : inria-00104782, version 1

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Muralikrishna Sridha, Dinesh Mandalapu, Mehul Patel. Active-DTW : A Generative Classifier that combines Elastic Matching with Active Shape Modeling for Online Handwritten Character Recognition. Guy Lorette. Tenth International Workshop on Frontiers in Handwriting Recognition, Oct 2006, La Baule (France), Suvisoft, 2006. 〈inria-00104782〉

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