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Communication Dans Un Congrès Année : 2007

Symbol Spotting in Graphical Documents Using Graph Representations

Résumé

 Many methods of graphics recognition have been developed throughout the years for the recognition of pre-seg mented graphics symbols but very few techniques achieved the objective of symbo l spotting and recognition together in a generic case. To go one step forward through this objective, this paper presents an original solution for symbol spot ting using a graph representation of graphical documents. The proposed strategy has two main step. In the first step, a graph base representatio n of a document image is generated that include selection of description pri mitives (nodes of the graph) and organisation of these features (edges). In the second step the graph is used to spot interesting parts of the image that potenti ally correspond to symbol. The sub-graphs associated to selected zones are then su bmitted to a graph matching algorithm in order to take the final decision and t o recognize the class of the symbol. The experimental results obtained on differ ent types of documents demonstrates that the system can handle different t ypes of images without any modification.
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Dates et versions

hal-01026384 , version 1 (21-07-2014)

Identifiants

  • HAL Id : hal-01026384 , version 1

Citer

Rashid-Jalal Qureshi, Jean-Yves Ramel, Hubert Cardot. Symbol Spotting in Graphical Documents Using Graph Representations. Seventh IAPR International Workshop on Graphics Recognition, Sep 2007, Curitiba, Brazil. pp.97-103. ⟨hal-01026384⟩
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