Combination of Contextual Information for Handwritten Word Recognition

  • Koch G
  • Paquet T
  • Heutte L
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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. © 2004 IEEE.

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Authors

  • G. Koch

  • T. Paquet

  • L. Heutte

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