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Discrimination Between Digits and Outliers in Handwritten Documents Applied to the Extraction of Numerical Fields

Abstract : In this article, we propose a numerical field extraction system from unconstrained handwritten documents. The system is based on a segmentation driven by recognition stage followed by a syntactical analysis which detects the sequences that may compose a numerical field. We focus here on the design of a digit classifier embedded in the segmentation/ recognition process able to discriminate digits from outliers such as words, fragment of words, noise, etc. For that, we have developed a light classifier used as prior to a standard digit classifier in order to reject “obvious outliers”. Several classifiers have been compared in terms of ROC curve and processing time.
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https://hal.inria.fr/inria-00103696
Contributor : Anne Jaigu <>
Submitted on : Thursday, October 5, 2006 - 10:18:17 AM
Last modification on : Tuesday, November 24, 2020 - 9:38:03 AM
Long-term archiving on: : Tuesday, April 6, 2010 - 6:19:35 PM

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  • HAL Id : inria-00103696, version 1

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Clément Chatelain, Laurent Heutte, Thierry Paquet. Discrimination Between Digits and Outliers in Handwritten Documents Applied to the Extraction of Numerical Fields. Tenth International Workshop on Frontiers in Handwriting Recognition, Université de Rennes 1, Oct 2006, La Baule (France). ⟨inria-00103696⟩

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