Skip to Main content Skip to Navigation
Book sections

An Error-Correction Graph Grammar to Recognize Texture Symbols

Gemma Sánchez 1 Josep Lladós 1 Karl Tombre 2
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.
Document type :
Book sections
Complete list of metadata

https://hal.inria.fr/inria-00100839
Contributor : Publications Loria <>
Submitted on : Tuesday, September 26, 2006 - 2:52:19 PM
Last modification on : Monday, March 29, 2021 - 11:50:03 AM

Identifiers

  • HAL Id : inria-00100839, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

112