A Bayesian classifier for symbol recognition

Sabine Barrat 1 Salvatore Tabbone 1 Patrick Nourrissier 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We present in this paper an original adaptation of Bayesian networks to symbol recognition problem. More precisely, a descriptor combination method, which enables to improve significantly the recognition rate compared to the recognition rates obtained by each descriptor, is presented. In this perspective, we use a simple Bayesian classifier, called naive Bayes. In fact, probabilistic graphical models, more specifically Bayesian networks, are a simple and intuitive way of probability distribution representation. In order to solve the dimensionality problem, we use a variable selection method. Experimental results, obtained in a supervised learning context and tested on GREC symbol database, are very promising.
Type de document :
Communication dans un congrès
Seventh International Workshop on Graphics Recognition - GREC'2007, Sep 2007, Curitiba, Brazil. 9 p., 2007, Session 2 : Symbol and shape description and recognition (1)
Liste complète des métadonnées

Littérature citée [18 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00179764
Contributeur : Sabine Barrat <>
Soumis le : mercredi 17 octobre 2007 - 10:57:42
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59
Document(s) archivé(s) le : dimanche 11 avril 2010 - 23:08:41

Fichier

GREC07.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00179764, version 1

Collections

Citation

Sabine Barrat, Salvatore Tabbone, Patrick Nourrissier. A Bayesian classifier for symbol recognition. Seventh International Workshop on Graphics Recognition - GREC'2007, Sep 2007, Curitiba, Brazil. 9 p., 2007, Session 2 : Symbol and shape description and recognition (1). 〈inria-00179764〉

Partager

Métriques

Consultations de la notice

190

Téléchargements de fichiers

548