Abstract
Since the utilization of finance self-service is getting increment, bank and financial institutions has provided various services using automatic banking systems. For better efficiency of utilization of automatic banking system, banknote recognition, performing banknote classification and counterfeit detection, is getting more important. This paper used color and UV information of bankonte for banknote recognition. We have improved the accuracy of banknote classification by classify the candidate of the kind of banknote and then applying size information of the banknote. Counterfeit detection is performed to comparing UV information of reference and input image after banknote classification. Our experimental results show that the performance of banknote classification and counterfeit detection are 99.1% and 98.3%.
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Korea Minting & Security Printing Corporation, http://www.komsco.com/
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© 2009 Springer-Verlag Berlin Heidelberg
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Chae, SH., Kim, J.K., Pan, S.B. (2009). A Study on the Korean Banknote Recognition Using RGB and UV Information. In: Ślęzak, D., Kim, Th., Chang, A.CC., Vasilakos, T., Li, M., Sakurai, K. (eds) Communication and Networking. FGCN 2009. Communications in Computer and Information Science, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10844-0_55
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DOI: https://doi.org/10.1007/978-3-642-10844-0_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10843-3
Online ISBN: 978-3-642-10844-0
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