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Classification de symboles avec un treillis de Galois et une représentation par sac de mots

Identifieur interne : 005813 ( Hal/Curation ); précédent : 005812; suivant : 005814

Classification de symboles avec un treillis de Galois et une représentation par sac de mots

Auteurs : Amani Boumaiza [France] ; Salvatore Tabbone [France]

Source :

RBID : Hal:inria-00595291

Abstract

This paper presents a new approach for graphical symbols recognition by combining a concept lattice with a bag of words representation. Visual words define the properties of a graphical symbol that will be modeled in the Galois Lattice. Indeed, the algorithm of classification is based on the Galois lattice where the intentions of its concepts are the visual words. The use of words as visual primitives allows to evaluate the classifier with a symbolic approach that no longer need the step of the signature discretization to build the Galois Lattice. Our approach is compared to classical approaches without a bag of words and to classical classifiers which are evaluated on different symbols. We show the relevance and the robustness of our approach for graphics recognition.

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Hal:inria-00595291

Le document en format XML

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<div type="abstract" xml:lang="en">This paper presents a new approach for graphical symbols recognition by combining a concept lattice with a bag of words representation. Visual words define the properties of a graphical symbol that will be modeled in the Galois Lattice. Indeed, the algorithm of classification is based on the Galois lattice where the intentions of its concepts are the visual words. The use of words as visual primitives allows to evaluate the classifier with a symbolic approach that no longer need the step of the signature discretization to build the Galois Lattice. Our approach is compared to classical approaches without a bag of words and to classical classifiers which are evaluated on different symbols. We show the relevance and the robustness of our approach for graphics recognition.</div>
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<idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno>
<idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno>
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<title xml:lang="fr">Classification de symboles avec un treillis de Galois et une représentation par sac de mots</title>
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<persName>
<forename type="first">Amani</forename>
<surname>Boumaiza</surname>
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<email>boumaiza@loria.fr</email>
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<forename type="first">Salvatore</forename>
<surname>Tabbone</surname>
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<email>Antoine.Tabbone@loria.fr</email>
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<title>ORASIS - Congrès des jeunes chercheurs en vision par ordinateur</title>
<date type="start">2011-06</date>
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<abstract xml:lang="en">This paper presents a new approach for graphical symbols recognition by combining a concept lattice with a bag of words representation. Visual words define the properties of a graphical symbol that will be modeled in the Galois Lattice. Indeed, the algorithm of classification is based on the Galois lattice where the intentions of its concepts are the visual words. The use of words as visual primitives allows to evaluate the classifier with a symbolic approach that no longer need the step of the signature discretization to build the Galois Lattice. Our approach is compared to classical approaches without a bag of words and to classical classifiers which are evaluated on different symbols. We show the relevance and the robustness of our approach for graphics recognition.</abstract>
<abstract xml:lang="fr">Cet article présente une nouvelle approche pour la reconnaissance de symboles graphiques en combinant un treillis de concepts avec une représentation par sac de mots. Les mots visuels définissent les propriétés représentatives d'un symbole graphique qui seront modélisées dans le treillis de Galois. En effet, l'algorithme de classification est fondé sur le treillis de Galois où les intentions de ses concepts représentent des mots visuels. L'utilisation des mots visuels comme des primitives permet d'évaluer le classifieur avec une approche symbolique qui n'a plus besoin de l' étape de discrétisation primordiale pour la construction du treillis. Notre méthode est comparée aux approches classiques, sans sac de mots et à plusieurs classifieurs usuels, évalués sur différents symboles. Nous montrons la pertinence et la robustesse de notre proposition pour la classification de symboles graphiques.</abstract>
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