Classification of administrative document images by logo identification

  • Authors:
  • Marçal Rusiñol;Vincent Poulain D'Andecy;Dimosthenis Karatzas;Josep Lladós

  • Affiliations:
  • Computer Vision Center, Dept. Ciències de la Computació, Edifici O, UAB, Spain;ITESOFT Parc d'Andron, Le Séquoia, Aimargues, France;Computer Vision Center, Dept. Ciències de la Computació, Edifici O, UAB, Spain;Computer Vision Center, Dept. Ciències de la Computació, Edifici O, UAB, Spain

  • Venue:
  • GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
  • Year:
  • 2011

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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.