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An Error-Correction Graph Grammar to Recognize Texture Symbols

Gemma Sánchez 1 Josep Lladós 1 Karl Tombre 2
1 CVC - Computer Vision Center (Centre de visio per computador)
2 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper presents an algorithm for recognizing symbols with textured elements in a graphical document. A region adjacency graph represents the graphical document. The textured symbols are modeled by a graph grammar. For recognition, a parsing process is applied. Since documents present distortions, error-correcting rules are added to the grammar.
Mots-clés : graphics recognition symbol recognition reconnaissance de symboles texture reconnaissance de graphiques
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https://hal.inria.fr/inria-00100839
Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Tuesday, September 26, 2006 - 2:52:19 PM
Last modification on : Friday, February 4, 2022 - 3:10:48 AM

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  • HAL Id : inria-00100839, version 1

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INRIA | CNRS | LORIA | UNIV-LORRAINE | INRIA2

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Gemma Sánchez, Josep Lladós, Karl Tombre. An Error-Correction Graph Grammar to Recognize Texture Symbols. Dorothea Blostein and Young-Bin Kwon. International Workshop on Graphics Recognition - GREC'2001, Springer Verlag, pp.128-138, 2002, Lecture Notes in Computer Science. ⟨inria-00100839⟩

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