95 articles 

inria-00104207, version 1

Conditional Random Fields for Online Handwriting Recognition

Trinh-Minh-Tri Do () 1, Thierry Artières () 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: In this work, we present a conditional model for online handwriting recognition. Our approach is based on Conditional Random Fields (CRFs), a probabilistic discriminant model that has been generally used up to now in particular settings, for labeling and parsing of sequential data such as text documents and biological sequences. We propose to adapt these models in order to build systems for handwriting recognition. We propose a few systems whose architecture allows dealing with multimodal classes and exploiting segmental features that are much adapted to signal data like online handwriting.

  • 1:  Laboratoire d'Informatique de Paris 6 (LIP6)
  • CNRS : UMR7606 – Université Pierre et Marie Curie (UPMC) - Paris VI
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : On-line handwriting recognition – probabilistic model – discriminative model
  • Comment : http://www.suvisoft.com
 
  • inria-00104207, version 1
  • oai:hal.inria.fr:inria-00104207
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  • Submitted on: Friday, 6 October 2006 09:46:55
  • Updated on: Friday, 6 October 2006 10:00:30