International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Volume4,June 2017,

Topic : Counterfeit Currency Note Detection using Multispectral Imaging and Image Processing

Authors:Pradeep Raj.R || Pranathi.C.P, Soundarya.M, Y.SreeLekha

Abstract:Automatic currency recognition and authentication has become an impending challenge today particularly because of the prevailing fraudulent activities as it hampers our economy. In the light of the recent stunt of demonetization by Prime Minister Narendra Modi, it is essential to build tools to identify the new fraudulent notes. Millions of fraudulent money in the form of new currency notes has already been seized, and it would be appropriate to say that more is being circulated or kept in possession. This scenario demands for an easy recognition of the authenticity of the currency notes. The objective is to use a replacement for manual recognition of the fraudulent notes as it is cumbersome and unreliable, with a more reliable software tool. We used Multi-spectral imaging, to determine and compare the intensity levels of thus obtained images with that of the original notes, in order to determine their authenticity. We combine this approach with image processing with the help of MatLab..

Keywords: Multi-spectral imaging, Counterfeit currency notes, Image Processing, MATLAB, Currency Recognition, Currency Authentication

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DOI: 01.1617/vol4/iss6/pid40127


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Dr.Zhongfu Tan
National Professor,
North China Electric Power University,
CHINA


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