Intelligent coin identification system

Author

Khashman, Adnan ; Sekeroglu, Boran ; Dimililer, Kamil

Author_Institution

Dept. of Electr. & Electron. Eng., Near East Univ., Nicosia

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

1226

Lastpage

1230

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CACSD-CCA-ISIC.2006.4776817

Filename

4776817