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inria-00104782, version 1

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

Muralikrishna Sridha () 1, Dinesh Mandalapu () 1, Mehul Patel 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

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.

  • 1:  Hewlett-Packard Laboratories
  • Hewlett-Packard
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Active Shape Model – DTW – Eigendeformations – generative classifiers
  • Comment : http://www.suvisoft.com
 
  • inria-00104782, version 1
  • oai:hal.inria.fr:inria-00104782
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  • Submitted on: Monday, 9 October 2006 14:01:15
  • Updated on: Monday, 9 October 2006 14:35:34