Detection of counterfeit indian currency note osing image processing

Abstract

Most of the country suffering from the problem of counterfeit note. Indian is also part of such problem. As advance in technology, it is possible for anyone to print counterfeit note. Such counterfeit notes are produced without the legal sanction of Government and production of such notes degrades the economy of any country. After demonetization in India Newly 500 and 2000 currency notes are launched but due to misuse of advanced technology, fake currency of such notes are produced by counterfeiter due to its high value and circulated in most of the part of our country. With the production and circulation of such counterfeit notes, it becomes difficult for common people to differentiate whether the currency is real or fake as they differentiate on the basis of physical appearance which effects the economy of our country. Here a system is proposed to differentiate between real and fake note which is based on the image processing technique and implemented in MATLAB. In this technique, first the image of 500 and 2000 rupee note is captured through the digital camera and perform preprocessing in order to remove noise and then mean intensity of RGB channels of image is calculated and further the three different features including Latent image, RBI Logo and denomination numeral with Rupee symbol are extracted to differentiate between real and fake note. The performance of the proposed system achieves good accuracy rate.