Learning banknote fitness for sorting
| Authors |
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| 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 |
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| Event | International Conference on Pattern Analysis and Intelligent Robotics, 2011 |
| Pages (from-to) | 41-46 |
| Publisher | Piscataway, NJ: IEEE |
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| 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
(Final published version)
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