Skip to Main content Skip to Navigation
Journal articles

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

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.
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01022532
Contributor : Denis Maurel <>
Submitted on : Thursday, July 10, 2014 - 2:48:18 PM
Last modification on : Monday, May 4, 2020 - 4:42:03 PM

Identifiers

  • HAL Id : hal-01022532, version 1

Citation

Nicholas Journet, Jean-Yves Ramel, Rémy Mullot, Véronique Eglin. Document Image Characterization Using a Multiresolution Analysis of the Texture: Application to Old Document. International Journal on Document Analysis and Recognition, Springer Verlag, 2008, 11 (1), pp.9-18. ⟨hal-01022532⟩

Share

Metrics

Record views

524