Multi-aspect target discrimination using hidden Markov models and neural networks
IEEE Transactions on Neural Networks
Deformed banknote identification using pattern averaging and neural networks
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Face recognition using neural networks and pattern averaging
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Intelligent face recognition using feature averaging
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Recognition of Mexican banknotes via their color and texture features
Expert Systems with Applications: An International Journal
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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.