Bayesian Networks Learning Algorithms for Online Form Classification

Emilie Philippot 1 Yolande Belaïd 1 Abdel Belaïd 1
1 READ - READ
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper a new method is presented for the recognition of online forms filled manually by a digital-type clip. This writing system transmits only the written fields without the pre-printed form. The form recognition consists in retrieving the original form directly from the filled fields without any context, which is a very challenging problem. We propose a method based on Bayesian networks. The networks use the conditional probabilities between fields in order to infer the real form. Two learning algorithms of form structures are employed to test their suitability for the case studied. The tests were conducted on the basis of 3200 forms provided by the Act image compagny, specialist in interactive writing processes. The first experiments show a recognition rate reaching more than 97%.
Type de document :
Communication dans un congrès
20th International Conference on Pattern Recognition- ICPR 2010, Aug 2010, Istanbul, Turkey. IEEE, pp.1981-1984, 2010, 〈10.1109/ICPR.2010.488〉
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00525546
Contributeur : Yolande Belaid <>
Soumis le : mardi 12 octobre 2010 - 10:08:51
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59
Document(s) archivé(s) le : jeudi 13 janvier 2011 - 02:41:14

Fichier

version_editeur_ICPR2010.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

Citation

Emilie Philippot, Yolande Belaïd, Abdel Belaïd. Bayesian Networks Learning Algorithms for Online Form Classification. 20th International Conference on Pattern Recognition- ICPR 2010, Aug 2010, Istanbul, Turkey. IEEE, pp.1981-1984, 2010, 〈10.1109/ICPR.2010.488〉. 〈inria-00525546〉

Partager

Métriques

Consultations de la notice

222

Téléchargements de fichiers

109