NAVIDOMASS: Structural-based Approaches Towards Handling Historical Documents

In the context of the NAVIDOMASS project, the problematic of this paper concerns the clustering of historical document images. We propose a structural-based framework to handle the ancient ornamental letters data-sets. The contribution, firstly, consists of examining the structural (i.e. graph) representation of the ornamental letters, secondly, the graph matching problem is applied to the resulted graphbased representations. In addition, a comparison between the structural (graphs) and statistical (generic Fourier descriptor) techniques is drawn.

• Type: Journal
• Year: 2010
• Where: ICPR
• Authors: Salim Jouili, Mickaël Coustaty, Salvatore Tabbone, Jean-Marc Ogier
• Keywords: Computer Vision, Generic Fourier, ICPR 2010, Ornamental Letters, Ornamental Letters Data-sets