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An Error-Correction Graph Grammar to Recognize Textured Symbols

Identifieur interne : 009690 ( Main/Exploration ); précédent : 009689; suivant : 009691

An Error-Correction Graph Grammar to Recognize Textured Symbols

Auteurs : Gemma Sánchez [France] ; Josep Llad S [Espagne] ; Karl Tombre [France]

Source :

RBID : Hal:inria-00101096

Descripteurs français

Abstract

This paper presents an algorithm for recognizing symbols with textured elements in a graphical document. A region adjacency graph represents the graphical document, with the nodes being polygons and the edges the neighborhood relations between them. The textured symbols are modeled by a graph, where nodes are polygons (represented by strings) or textured areas (represented by a graph grammar with error-correction rules). The recognition process is done by a graph matching process that uses a string edit distance to recognize the static parts of the symbol and a parsing process that segments the subgraph in the original graph, following the rules of the graph grammar.

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Le document en format XML

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<orgName>Centre National de la Recherche Scientifique</orgName>
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<orgName>Institut National de Recherche en Informatique et en Automatique</orgName>
<orgName type="acronym">Inria</orgName>
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<address>
<addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine>
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<orgName>Université Henri Poincaré - Nancy 1</orgName>
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<addrLine>24-30 rue Lionnois, BP 60120, 54 003 NANCY cedex, France</addrLine>
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<orgName>Université Nancy 2</orgName>
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<addrLine>91 avenue de la Libération, BP 454, 54001 Nancy cedex</addrLine>
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<orgName>Institut National Polytechnique de Lorraine</orgName>
<orgName type="acronym">INPL</orgName>
<date type="end">2011-12-31</date>
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<addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine>
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<country>France</country>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
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<orgName type="university">Université Nancy 2</orgName>
<orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName>
<placeName>
<settlement type="city">Nancy</settlement>
<region type="region" nuts="2">Grand Est</region>
<region type="old region" nuts="2">Lorraine (région)</region>
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<orgName type="university">Institut national polytechnique de Lorraine</orgName>
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<keywords scheme="mix" xml:lang="fr">
<term>graphics recognition</term>
<term>pattern recognition</term>
<term>reconnaissance de formes</term>
<term>reconnaissance de graphique</term>
</keywords>
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<front>
<div type="abstract" xml:lang="en">This paper presents an algorithm for recognizing symbols with textured elements in a graphical document. A region adjacency graph represents the graphical document, with the nodes being polygons and the edges the neighborhood relations between them. The textured symbols are modeled by a graph, where nodes are polygons (represented by strings) or textured areas (represented by a graph grammar with error-correction rules). The recognition process is done by a graph matching process that uses a string edit distance to recognize the static parts of the symbol and a parsing process that segments the subgraph in the original graph, following the rules of the graph grammar.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Espagne</li>
<li>France</li>
</country>
<region>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Nancy</li>
</settlement>
<orgName>
<li>Institut national polytechnique de Lorraine</li>
<li>Université Nancy 2</li>
<li>Université de Lorraine</li>
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<country name="France">
<region name="Grand Est">
<name sortKey="Sanchez, Gemma" sort="Sanchez, Gemma" uniqKey="Sanchez G" first="Gemma" last="Sánchez">Gemma Sánchez</name>
</region>
<name sortKey="Tombre, Karl" sort="Tombre, Karl" uniqKey="Tombre K" first="Karl" last="Tombre">Karl Tombre</name>
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<name sortKey="Llad S, Josep" sort="Llad S, Josep" uniqKey="Llad S J" first="Josep" last="Llad S">Josep Llad S</name>
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</country>
</tree>
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