Multi-banknote Identification Using a Single Neural Network

Real-life applications of neural networks require a high degree of success, usability and reliability. Image processing has an importance for both data preparation and human vision to increase the success and reliability of pattern recognition applications. The combination of both image processing and neural networks can provide sufficient and robust solutions to problems where intelligent recognition is required. This paper presents an implementation of neural networks for the recognition of various banknotes. One combined neural network will be trained to recognize all the banknotes of the Turkish Lira and the Cyprus Pound; as they are the main currencies used in Cyprus. The flexibility, usability and reliability of this Intelligent Banknote Identification System (IBIS) will be shown through the results and a comparison will be drawn between using separate neural networks or a combined neural network for each currency.