%0 Conference Proceedings
%T Logo Spotting by a Bag-of-words Approach for Document Categorization
%A Marçal Rusiñol
%A Josep Llados
%B 10th International Conference on Document Analysis and Recognition
%D 2009
%@ 1520-5363
%@ 978-1-4244-4500-4
%F Marçal Rusiñol2009
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1179), last updated on Mon, 15 May 2017 11:18:12 +0200
%X In this paper we present a method for document categorization which processes incoming document images such as invoices or receipts. The categorization of these document images is done in terms of the presence of a certain graphical logo detected without segmentation. The graphical logos are described by a set of local features and the categorization of the documents is performed by the use of a bag-of-words model. Spatial coherence rules are added to reinforce the correct category hypothesis, aiming also to spot the logo inside the document image. Experiments which demonstrate the effectiveness of this system on a large set of real data are presented.
%U DOI:  10.1109/ICDAR.2009.103
%U http://dx.doi.org/10.1109/ICDAR.2009.103
%P 111–115