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Multiresolution cooperation makes easier document structure recognition

Aurélie Lemaitre 1 Jean Camillerapp 1 Bertrand Couasnon 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 : This paper shows the interest of imitating the perceptive vision to improve the recognition of the structure of ancient, noisy and low structured documents. The perceptive vision, that is used by human eye, consists in focusing attention on interesting elements after having detecting their presence in a global vision process. We propose a generic method in order to apply this concept to various problems and kinds of documents. Thus, we introduce the concept of cooperation between multiresolution visions into a generic method. The originality of this work is that the cooperation between resolutions is totally led by the knowledge dedicated to each kind of document. In this paper, we present this method on three kinds of documents: handwritten low structured mail documents, naturalization decree register that are archive noisy documents from the 19th century and Bangla script that requires a precise vision. This work is validated on 86,291 documents.
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Aurélie Lemaitre, Jean Camillerapp, Bertrand Couasnon. Multiresolution cooperation makes easier document structure recognition. International Journal on Document Analysis and Recognition, Springer Verlag, 2008, 11 (2), pp.97-109. ⟨10.1007/s10032-008-0072-6⟩. ⟨hal-00542501⟩

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