Coin identification using neural networks
Adnan Khashman, Boran Şekeroğlu, Kamil Dimililer · 2006
Abstract:- Neural networks have been used in the development of intelligent systems that simulate pattern recognition and object identification. Coin identification by machines relies currently on the assessment of the physical parameters of a coin. An intelligent coin identification system that uses coin patterns for identification helps preventing confusion between different coins of similar physical dimensions. This paper proposes a rotation-invariant intelligent coin identification system (ICIS) that uses a neural network and pattern averaging to recognize rotated coins by 15 degrees. Slot machines in Europe accept the new Turkish 1 Lira coin as a 2 Euro coin due to physical similarities; however, the 2 Euro coin is roughly worth 4 times the new Turkish 1 Lira. ICIS was implemented to identify the 2 EURO and the 1 TL coins and the results were found to be encouraging.