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Contribution of Multiresolution Description for Archive Document Structure Recognition

Aurélie Lemaitre 1 Jean Camillerapp 1 Bertrand Coüasnon 1
1 IMADOC - Interprétation et Reconnaissance d’Images et de Documents
UR1 - Université de Rennes 1, INSA Rennes - Institut National des Sciences Appliquées - Rennes, CNRS - Centre National de la Recherche Scientifique : UMR6074
Abstract : When reading a document, we intuitively have a first global approach in order to determine the whole structure, before reading parts in details. We propose to apply the same kind of mechanism by introducing the concept of multiresolution in an existing generic method for structured document recognition. This new combination of different vision levels makes it possible to recognize low structured documents. We present our work on an example: the multiresolution description of archive documents that are naturalization decree registers from the 19th and 20th century. The validation has been made on 85,088 images. Integrated in a platform for archive documents, the located elements offers to users a fast leaf through naturalization decrees.
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Submitted on : Thursday, July 31, 2008 - 10:00:30 AM
Last modification on : Thursday, January 7, 2021 - 4:35:30 PM
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Aurélie Lemaitre, Jean Camillerapp, Bertrand Coüasnon. Contribution of Multiresolution Description for Archive Document Structure Recognition. ICDAR 2007, Sep 2007, Curitiba, Brazil. ⟨10.1109/ICDAR.2007.4378713⟩. ⟨inria-00308563⟩



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