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

Identifieur interne : 002371 ( Main/Merge ); précédent : 002370; suivant : 002372

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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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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