95 articles 

inria-00104788, version 1

Markov Random Field Models to Extract The Layout of Complex Handwritten Documents

Stéphane Nicolas () 1, Thierry Paquet () 1, Laurent Heutte () 1

Tenth International Workshop on Frontiers in Handwriting Recognition (2006)

Abstract: We consider in this paper the problem of complex handwritten page segmentation such as novelist drafts or authorial manuscripts. We propose to use stochastic and contextual models in order to cope with local spatial variability, and to take into account some prior knowledge about the global structure of the document image. The models we propose to use are Markov Random Field models. Using this model, the segmentation is performed using optimization techniques. Using the MRF framework, the segmentation is equivalent to an image labeling problem and is performed using optimization techniques.

  • 1:  Perception, Systèmes, Information (PSI)
  • CNRS : FRE2645 – Université de Rouen – Institut National des Sciences Appliquées [INSA] - Rouen
  • Domain : Computer Science/Document and Text Processing
    Computer Science/Computer Vision and Pattern Recognition
  • Keywords : Document image analysis – layout extraction – Markov radom field – image labeling
  • Comment : http://www.suvisoft.com
 
  • inria-00104788, version 1
  • oai:hal.inria.fr:inria-00104788
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  • Submitted on: Monday, 9 October 2006 14:15:36
  • Updated on: Monday, 9 October 2006 14:35:08