TY  - CHAP
AU  - Marçal Rusiñol
AU  - V. Poulain d'Andecy
AU  - Dimosthenis Karatzas
AU  - Josep Llados
ED  - Bart Lamiroy
ED  - Jean-Marc Ogier
PY  - 2014//
TI  - Classification of Administrative Document Images by Logo Identification
BT  - Graphics Recognition. Current Trends and Challenges
SP  - 49
EP  - 58
VL  - 8746
PB  - Springer Berlin Heidelberg
KW  - Administrative Document Classification
KW  - Logo Recognition
KW  - Logo Spotting
N2  - 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.
SN  - 0302-9743
SN  - 978-3-662-44853-3
L1  - http://refbase.cvc.uab.es/files/RPK2014.pdf
UR  - http://dx.doi.org/10.1007/978-3-642-36824-0_5
N1  - DAG; 600.056; 600.045; 605.203; 600.077
ID  - Marçal Rusiñol2014
ER  -