Image Processing Technique for Authentication of Indian Paper Currency

Abstract

As we all know day by day the technology is getting better and better, the production of counterfeit currency has been rapidly increasing. The counterfeit currency problem is faced by almost all countries. Since the real economy is affected, it has affected the economy of the country. Even when the drastic step of demonetization was taken in 2016 to overcome counterfeit currency, this problem did not end.  The only one solution for this problem for a common man is to detect the fake currency, by using the fake currency detector machine. These machines are used in banks and large scale business, but for small scale businesses or for a common man  these machines are not affordable. There are lot of  researches taking place on this matter by using deep learning, image processing and machine learning techniques. This paper  gives  the complete methodology of fake note detector machine,  which is affordable even for a common man.  By  implementing the applications of image processing  techniques  we  can  find  out whether  the  currency  notes  are  fake  or not.  Image  processing  technique  consists  of  a  number  of operations  that  can  be  performed  on  an  image,  some  of  which  include  image  segmentation,  edge detection,  gray  scale  conversion,  pre-processing etc.  The  proposed  system  will detect the  counterfeit currency of new denominations by distinguishing each denomination based on its size and depending on the features of each currency the comparison takes place. Based on the features matched, it detects whether the currency is counterfeit or not. The system have advantages like simplicity, reliability and cost effective. Which is affordable by a common man since the common man is the one who will be effected most, when the counterfeit currency are circulated in the market because he has to pay the real value of that currency.