FAKE CURRENCY RECOGNITION SYSTEM FOR INDIAN NOTES USING IMAGE PROCESSING TECHNIQUES
Thukkani Naveen Kumar, T Subhash, SK Saajid Rehman, N Hari Babu, P Sai, Dorothy Regan · Journal of Emerging Technologies and Innovative Research · 2019
In the point of economic stability of a nation, circulation and use of the fake currency notes pose major threats. Curbing the use of fake currency notes nowadays becomes digitalized with use of digital image processing algorithms. Counterfeit notes are printed with the utmost precision level to par with the original. So fake currency detection is a difficult task by simple visual inspection and use of digital image processing algorithms come to play a vital role. The conceivable arrangements are there, to utilize either chemical properties of the currency or to utilize its physical appearance for detection. The methodology exhibited in this paper depends on physical appearance of the Indian currency. Image processing algorithms have been embraced to expose the highlights of Indian currency notes, for example, security thread, intaglio printing (RBI logo) and distinguishing proof imprint, which have been received as security highlights of Indian currency. To make the framework increasingly robust and exact, the definitive score of all the three highlights has been intertwined to separate among genuine and fake monetary standards. Another parameter used to quantify the execution of the proposed framework is mean square error, which is roughly 1%. It might be embraced by the everyday citizens too, who frequently face the issue of separating among genuine and fake monetary standards.