Combination of Contextual Information for Handwritten Word Recognition

  • Authors:
  • Guillaume Koch;Thierry Paquet;Laurent Heutte

  • Affiliations:
  • Université de Rouen;Université de Rouen;Université de Rouen

  • Venue:
  • IWFHR '04 Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition
  • Year:
  • 2004

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Abstract

In this paper, we present a method for the recognition of handwritten words extracted from real incoming mail documents. The word recognition process is based on three different sources of information: outputs of a character classifier, contextual information extracted from word shapes and some a priori knowledge. Reported results demonstrate the benefit of those additional information on the word recognition rates. This approach is evaluated on a database of 5000 words examples.