Document Image Characterization Using a Multiresolution Analysis of the Texture: Application to Old Documents.

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 analyzed documents. Experimentation based on segmentation, data analysis and document image retrieval tools 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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International Journal on Document Analysis and Recognition, Springer Verlag, 2008, Volume 11 (Number 1), pp.9-18. <10.1007/s10032-008-0064-6>
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https://hal.archives-ouvertes.fr/hal-00480087
Contributeur : Jean-Yves Ramel <>
Soumis le : lundi 3 mai 2010 - 14:55:26
Dernière modification le : jeudi 2 mars 2017 - 16:38:45

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Nicholas Journet, Jean-Yves Ramel, Véronique Eglin, Rémy Mullot. Document Image Characterization Using a Multiresolution Analysis of the Texture: Application to Old Documents.. International Journal on Document Analysis and Recognition, Springer Verlag, 2008, Volume 11 (Number 1), pp.9-18. <10.1007/s10032-008-0064-6>. <hal-00480087>

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