Title :
Intelligent coin identification system
Author :
Khashman, Adnan ; Sekeroglu, Boran ; Dimililer, Kamil
Author_Institution :
Dept. of Electr. & Electron. Eng., Near East Univ., Nicosia
Abstract :
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
Keywords :
image recognition; neural nets; intelligent coin identification system; intelligent recognition system; neural network; pattern averaging; Colored noise; Image converters; Image edge detection; Image processing; Intelligent networks; Intelligent systems; Machine intelligence; Neural networks; Pattern recognition; Slabs;
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776817
