Abstract
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.
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Rusiñol, M., Poulain D’Andecy, V., Karatzas, D., Lladós, J. (2013). Classification of Administrative Document Images by Logo Identification. In: Kwon, YB., Ogier, JM. (eds) Graphics Recognition. New Trends and Challenges. GREC 2011. Lecture Notes in Computer Science, vol 7423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36824-0_5
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DOI: https://doi.org/10.1007/978-3-642-36824-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36823-3
Online ISBN: 978-3-642-36824-0
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