Graph Matching Based on Node Signatures

Salim Jouili 1 Salvatore Tabbone 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We present an algorithm for graph matching in a pattern recognition context. This algorithm deals with weighted graphs, based on new structural and topological node signatures. Using these signatures, we compute an optimum solution for node-to-node assignment with the Hungarian method and propose a distance formula to compute the distance between weighted graphs. The experiments demonstrate that the newly presented algorithm is well suited to pattern recognition applications. Compared with four well-known methods, our algorithm gives good results for clustering and retrieving images. A sensitivity analysis reveals that the proposed method is also insensitive to weak structural changes.
Keywords : graph clustering graph representation graph matching graph clustering.
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Communication dans un congrès
A. Torsello, F. Escolano, and L. Brun. 7th IAPR-TC-15 Workshop on Graph-based Representations in Pattern Recognition - GbRPR 2009, May 2009, Venise, Italy. Springer, 5534, pp.154-163, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-02124-4_16〉
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Soumis le : jeudi 16 juillet 2009 - 11:23:49
Dernière modification le : jeudi 11 janvier 2018 - 06:19:59
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Salim Jouili, Salvatore Tabbone. Graph Matching Based on Node Signatures. A. Torsello, F. Escolano, and L. Brun. 7th IAPR-TC-15 Workshop on Graph-based Representations in Pattern Recognition - GbRPR 2009, May 2009, Venise, Italy. Springer, 5534, pp.154-163, 2009, Lecture Notes in Computer Science. 〈10.1007/978-3-642-02124-4_16〉. 〈inria-00390288〉

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