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Analyse d'Images de Documents Anciens: une Approche Texture

Abstract : In this article, we propose a method of characterization of images of old documents based on a texture approach. This characterization is carried out with the help of a multi-resolution study of the textures contained in the images of the document. Thus, by extracting five features linked to the frequencies and to the orientations in the different areas of a page, it is possible to extract and compare elements of high semantic level without expressing any hypothesis about the physical or logical structure of the analysed documents. Experimentations demonstrate the performance of our propositions and the advances that they represent in terms of characterization of content of a deeply heterogeneous corpus.
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Contributor : Nicholas Journet <>
Submitted on : Thursday, January 22, 2009 - 2:20:21 PM
Last modification on : Monday, May 4, 2020 - 4:42:02 PM
Document(s) archivé(s) le : Tuesday, June 8, 2010 - 9:06:30 PM


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  • HAL Id : hal-00355243, version 1


Nicholas Journet, Rémy Mullot, Veronique Eglin, Jean-Yves Ramel. Analyse d'Images de Documents Anciens: une Approche Texture. Traitement du Signal, Lavoisier, 2008, 24 (6), pp.461-479. ⟨hal-00355243⟩



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