Abstract
When developing intelligent recognition systems, our perception of patterns can be simulated using neural networks. An intelligent coin identification system that uses coin patterns for classification helps prevent confusion between different coins of similar physical dimensions. Currently, coin identification by machines relies on the assessment of the coin’s physical parameters. In this paper, a rotation-invariant intelligent coin identification system (ICIS) is presented. ICIS uses a neural network and pattern averaging to recognize rotated coins at various degrees. Slot machines in Europe accept the new Turkish 1-Lira coin as a 2-Euro coin due to physical similarities. A 2-Euro coin is roughly worth 4 times the new Turkish 1-Lira. ICIS was implemented to identify the 2 EURO and 1 TL coins and the results were found to be encouraging.
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© 2006 Springer-Verlag Berlin Heidelberg
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Khashman, A., Sekeroglu, B., Dimililer, K. (2006). ICIS: A Novel Coin Identification System. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing in Signal Processing and Pattern Recognition. Lecture Notes in Control and Information Sciences, vol 345. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-37258-5_113
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DOI: https://doi.org/10.1007/978-3-540-37258-5_113
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37257-8
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