An Ancient Graphic Documents Indexing Method Based on Spatial Similarity

Authors:
Ali Karray;Jean-Marc Ogier;Slim Kanoun;Mohamed Adel Alimi
Affiliations:
Faculty of Sciences and of Sciences and Technology, L3i Research Laboratory, Université de La Rochelle, Cédex 1, France 17042 and National Engineering school of Sfax, REGIM Research Grou ...;Faculty of Sciences and of Sciences and Technology, L3i Research Laboratory, Université de La Rochelle, Cédex 1, France 17042;National Engineering school of Sfax, REGIM Research Group, University of Sfax, Route Soukra, Sfax, Tunisia 3038;National Engineering school of Sfax, REGIM Research Group, University of Sfax, Route Soukra, Sfax, Tunisia 3038
Venue:
Graphics Recognition. Recent Advances and New Opportunities
Year:
2008

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Abstract

Content based image retrieval using spatial image content (i.e. using multiple regions and their spatial relationships) is still an open problem which has received considerable attention in literature. In this paper we introduce a new representation of image based on the most general spatial image content representation that is Attributed Relation Graphs (ARG) representation and also a new method of image indexation. Like all CBIR systems, the one proposed here has two components: a segmentation component and a matching component using a novel inexact graph matching algorithm. We tested our work in lettrines image but it's also valid in general image.