A two-stage outlier rejection strategy for numerical field extraction in handwritten documents

  • Authors:
  • Clement Chatelain;Laurent Heutte;Thierry Paquet

  • Affiliations:
  • Laboratoire LITIS, 76800 Saint Etienne du Rouvray, FRANCE;Laboratoire LITIS, 76800 Saint Etienne du Rouvray, FRANCE;Laboratoire LITIS, 76800 Saint Etienne du Rouvray, FRANCE

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
  • Year:
  • 2006

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Abstract

In this article, we propose a segmentation-driven recognition system which aims at extracting numerical fields from handwritten documents. We show that a crucial point of the system is the rejection ability of the handwritten numeral classifier. Therefore, we propose a simple two-stage outlier rejection strategy, and we show the benefit of this strategy on the numerical field extraction results.