Skip to Main content Skip to Navigation
Conference papers

Dedicated Texture Based Tools for Characterisation of Old Books

Abstract : This paper deals with the development of suitable assistance tools for humanists and historians to help them retrieve information documents. This paper represents a part of this ambitious project and deals with the design of a pixel classification method for ancient typewritten documents. The approach presented here is based on a multiresolution map construction and analysis; for five resolutions we construct five different characterisation maps. All the maps are based on texture information (correlation of pixels orientations, grey level pixel density: etc). After the merging of these 25 maps, each pixel of the original image is described by a vector which allows the computing of a hierarchical classification. In order to avoid issues linked to the binarization process, ail maps are computed for grey level images. The system has been tested on a CESR database of ancient printed books of the Renaissance. The classification results are evaluated through several visual classification illustrations
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00355268
Contributor : Nicholas Journet <>
Submitted on : Thursday, January 22, 2009 - 2:43:18 PM
Last modification on : Monday, May 4, 2020 - 4:42:02 PM

Links full text

Identifiers

Citation

Nicholas Journet, Véronique Eglin, Rémy Mullot, Jean-Yves Ramel. Dedicated Texture Based Tools for Characterisation of Old Books. Second International Conference on Document Image Analysis for Libraries, 2006, Apr 2006, Lyon, France. pp.60-69, ⟨10.1109/DIAL.2006.11⟩. ⟨hal-00355268⟩

Share

Metrics

Record views

347