Abstract

Paper currency recognition is one of the important applications of pattern recognition. This application is used to recognize the currency of different countries. Currency recognition system can be used in many places like Hotels, Shops and Automated Teller Machines etc. The currency recognition system should be able to classify this paper currency to the correct class of paper currencies to which it belongs. This paper represents currency recognition system of different countries using different techniques. The paper represents recognition system of different countries like Bangladesh, China, India and recognition system for Euro currency. Different techniques are used to develop these systems like Bangladeshi Currency Recognition System using Negatively Correlated Neural Network, Bangladeshi Currency Recognition System Using Neural Network with Axis Symmetrical Masks and Chinese Currency Recognition System based on BP (Back Propagation) Neural Network Improved by Gene Algorithm, Chinese Currency Recognition by Neural Network, Chinese Currency Recognition based on LBP (Local Binary Pattern). Indian Currency Recognition System based on Heuristic Analysis and Recognition System for Euro using New Recognition Method. This paper represents currency recognition system of different countries and method used to develop these systems.

Keywords:

Paper currency recognition, recognition system,

References

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   PMid:12713829    

Competing interests

The authors have no competing interests.

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The authors have no competing interests.