Symbol Spotting using Full Visibility Graph Representation

Hervé Locteau 1 Sébastien Adam 2 Eric Trupin 2 Jacques Labiche 3 Pierre Héroux 3
1 QGAR - Querying Graphics through Analysis and Recognition
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 DOCAPP
LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
Abstract : In this paper, a method for matching symbols in line-drawings is presented. Facing both segmentation and recognition of symbols is a difficult challenge. Starting from the results of a vectorization proce- dure, a visibility graph is built to enhance the main geometric constraints which were specified during the construction of the initial document. The cliques detection, which correspond to a perceptual grouping of primi- tives, is used in the system to detect regions of particular interest. Both opened and perceptually closed curves are identified from aggregation of cliques. Finally, the recognition stage uses an attributed edit distance technique to match approximated curves within the host attributed re- lation graph and the ones from a collection of symbols.
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Communication dans un congrès
Workshop on Graphics Recognition, Jul 2007, Brazil. pp.49-50, 2007
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Hervé Locteau, Sébastien Adam, Eric Trupin, Jacques Labiche, Pierre Héroux. Symbol Spotting using Full Visibility Graph Representation. Workshop on Graphics Recognition, Jul 2007, Brazil. pp.49-50, 2007. 〈hal-00671265〉

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