Abstract

Abstract: Counterfeiting money stands for the illegal replication of original currency; hence counterfeit currency is a fake currency that has not been authorized by the government. Every year the Reserve Bank of India (RBI) faces the problem of counterfeit currency notes once filtered and circulated in the market. Commercial areas like the banks, malls, jeweler stores etc., have machine that use Ultraviolet (UV) light and other techniques to detect the authenticity of the currency. But for common people it is very difficult to detect whether the currency is fake or genuine and they may face losses especially during bank deposits and transaction. This paper proposes a system which is designed such that any person can use it easily and detect the authenticity of the currency by scanning the image of the currency note in the mobile phone. The system is developed using image processing technologies and Convolution Neural Network(CNN) classifier.

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