Using a neighbourhood graph based on Voronoï tessellation with DMOS, a generic method for structured document recognition

Aurélie Lemaitre 1 Bertrand Couasnon 1 Ivan Leplumey 1
1 IMADOC - Interprétation et Reconnaissance d’Images et de Documents
UR1 - Université de Rennes 1, INSA Rennes - Institut National des Sciences Appliquées - Rennes, CNRS - Centre National de la Recherche Scientifique : UMR6074
Abstract : To develop a method for structured document recognition, it is necessary to know the relative position of the graphical elements in a document. In order to deal with this notion, we build a neighbourhood graph based on Vorono¨ı tessellation. We propose to combine the use of this interesting notion of neighbourhood with an existing generic document recognition method, DMOS, which has been used to describe various kinds of documents. This association allows exploiting different aspects of the neighbourhood graph, separating the graph analysis from the knowledge linked to a kind of document, and establishing a bidirectional context-based relation between the analyser and the graph. We apply this method on the analysis of various documents.
Type de document :
Chapitre d'ouvrage
Liu and Llados. Graphics Recognition - Ten years review and future perspectives, Springer, pp.267-278, 2006, LNCS, 978-3-540-34711-8. 〈10.1007/11767978〉
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/inria-00300404
Contributeur : Aurélie Lemaitre <>
Soumis le : jeudi 2 décembre 2010 - 17:32:29
Dernière modification le : mercredi 16 mai 2018 - 11:23:01
Document(s) archivé(s) le : jeudi 3 mars 2011 - 02:18:22

Fichier

final.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

IRISA | IRISA-D6 | UR1-UFR-ISTIC | UNIV-RENNES

Citation

Aurélie Lemaitre, Bertrand Couasnon, Ivan Leplumey. Using a neighbourhood graph based on Voronoï tessellation with DMOS, a generic method for structured document recognition. Liu and Llados. Graphics Recognition - Ten years review and future perspectives, Springer, pp.267-278, 2006, LNCS, 978-3-540-34711-8. 〈10.1007/11767978〉. 〈inria-00300404〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

208

Téléchargements de fichiers

118

Contact


archive-ouverte@inria.fr