@Inbook{Mar{\c c}alRusi{\~n}ol2014,
author="Mar{\c{c}}al Rusi{\~n}ol
and V. Poulain d{\textquoteright}Andecy
and Dimosthenis Karatzas
and Josep Llados",
editor="Bart Lamiroy
and Jean-Marc Ogier",
chapter="Classification of Administrative Document Images by Logo Identification",
title="Graphics Recognition. Current Trends and Challenges",
year="2014",
publisher="Springer Berlin Heidelberg",
volume="8746",
pages="49--58",
optkeywords="Administrative Document Classification",
optkeywords="Logo Recognition",
optkeywords="Logo Spotting",
abstract="This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier{\textquoteright}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.",
optnote="DAG; 600.056; 600.045; 605.203; 600.077",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2701), last updated on Wed, 16 Dec 2015 12:42:16 +0100",
isbn="978-3-662-44853-3",
issn="0302-9743",
doi="10.1007/978-3-642-36824-0_5",
file=":http://refbase.cvc.uab.es/files/RPK2014.pdf:PDF"
}