A Novel Approach for Detection of Counterfeit Indian Currency Notes Using Deep Convolutional Neural Network. Issue 2 (December 2020)

• Record Type: Journal Article
• Authors: Naresh Kumar, S; Singal, Gaurav; Sirikonda, Shwetha; Nethravathi, R.
• Is Part Of: IOP conference series. Volume 981:Issue 2(2020)
• Publication Date: 2020-12
• Subjects: Counterfeit detection -- Currency note -- Image processing -- Deep Convolutional Neural Network (Deep CNN); Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/981/2/022018
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: In recent years, the Indian economy has shown rapid growth among all other major economies. India has been tragically reviled with issues like corruption and black currency, fake money notes is additionally major issues to it, in spite of a strong security feature are endorsed by RBI to print original currency. The advancement of color printing technology helped local racketeers and foreign racketeers to print a large amount of counterfeit Indian currency notes in the market. Albeit counterfeit money is being printed with accuracy, it likely is distinguished with some effort. In this paper, the proposed model efficiently detect the counterfeit Indian currency notes by adapting three-layered Deep Convolutional Neural Network (Deep ConvNet), and achieved an accuracy of 96.6%.