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Classification de formulaires manuscrits en-ligne à l'aide de réseaux bayésiens

Emilie Philippot 1 Yolande Belaïd 1 Abdel Belaïd 1
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we propose a method of recognizing handwritten forms online using an electronic pen-type clip. This mode of writing leads unconstrained filling uncertain form and the loss of the type of the completed form. We propose a method to identify the class of the form based on the positioning of fields filled. Our approach relies on the use of Bayesian networks to exploit, using conditional probabilities, occurrences of filling some fields depending on others. The tests were conducted on the basis of 3200 forms provided by the company Actimage. The first experiments show an average recognition of 90%.
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https://hal.inria.fr/inria-00492702
Contributor : Yolande Belaid <>
Submitted on : Wednesday, June 16, 2010 - 4:46:52 PM
Last modification on : Friday, February 26, 2021 - 3:28:07 PM
Long-term archiving on: : Friday, September 17, 2010 - 1:53:30 PM

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Emilie Philippot, Yolande Belaïd, Abdel Belaïd. Classification de formulaires manuscrits en-ligne à l'aide de réseaux bayésiens. Colloque International Francophone sur l'Ecrit et le Document - CIFED 2010, Mar 2010, Sousse, Tunisie. pp.95-110. ⟨inria-00492702⟩

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