%0 Book Section
%T Classification of Administrative Document Images by Logo Identification
%A Marçal Rusiñol
%A V. Poulain d'Andecy
%A Dimosthenis Karatzas
%A Josep Llados
%E Bart Lamiroy
%E Jean-Marc Ogier
%B Graphics Recognition. Current Trends and Challenges
%D 2014
%V 8746
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-662-44853-3
%F Marçal Rusiñol2014
%O DAG; 600.056; 600.045; 605.203; 600.077
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2701), last updated on Wed, 16 Dec 2015 12:42:16 +0100
%X This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier’s graphical logo. Two different methods are proposed, the first one uses a bag-of-visual-words model whereas the second one tries to locate logo images described by the blurred shape model descriptor within documents by a sliding-window technique. Preliminar results are reported with a dataset of real administrative documents.
%K Administrative Document Classification
%K Logo Recognition
%K Logo Spotting
%U http://refbase.cvc.uab.es/files/RPK2014.pdf
%U http://dx.doi.org/10.1007/978-3-642-36824-0_5
%P 49-58