Learning banknote fitness for sorting

Authors
Publication date 2011
Book title Proceedings of the 2011 International Conference on Pattern Analysis and Intelligent Robotics: 28-29 June 2011, Putrajaya, Malaysia. - Vol. 1
ISBN
  • 9781612844077
Event International Conference on Pattern Analysis and Intelligent Robotics, 2011
Pages (from-to) 41-46
Publisher Piscataway, NJ: IEEE
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract In this work, a machine learning method is proposed for banknote soiling determination. We apply proven techniques from computer vision to come up with a robust and effective method for automatic sorting of banknotes. The proposed method is evaluated with respect to various invariance classes. The method shows excellent performance on a large validation set of over 8,000 banknotes from the Eurosystem, while being learned on only 300 banknotes per denomination.
Document type Conference contribution
Language English
Published at https://doi.org/10.1109/ICPAIR.2011.5976909
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