Intelligent coin identification system
Adnan Khashman, Boran Şekeroğlu, Kamil Dimililer · 2006
The use of neural networks to simulate our perception of patterns is important in developing intelligent recognition systems. Currently, coin identification by machines relies on the assessment of the coin's physical parameters. An intelligent coin identification system that uses coin patterns for identification helps prevent confusion between different coins of similar physical dimensions. In this paper, an intelligent coin identification system (ICIS) is proposed. 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