AUTHENTICATION OF PAPER CURRENCY AND CONVERSION INTO LOWER DENOMINATIONS
Sushama Kamble, Bhagyashri Zerkunte, Shital More, Kranti Nale · International journal of advance research and innovative ideas in education · 2018
Over the past few year, as a result of the great technological advances in color printing, duplicating and scanning, counterfeiting problems have become more and more serious. In the past, only the printing house has the ability to make counterfeit paper currency, but today it is possible for any person to print counterfeit bank notes simply by using a computer and a laser printer at house. Therefore the issue of efficiently distinguishing counterfeit banknotes from genuine ones via automatic machines has become more and more important. There is a need to design a system that is helpful in recognition of paper currency notes with fast speed and in less time. The proposed solution focuses on fake currency detection and recognition of currency value and converts it into lower denominations using the image processing. Fake currency detection is a process of finding the forgery currency. Once the image is chosen first step would be image pre-processing. In pre-processing the image has to be cropped, adjusted and smoothened. After pre-processing convert the image into gray color. After conversion apply the image segmentation and extract the features, now reduce them for further processing. Finally compare the image into original or forgery. After the currency is detected to be correct, the denomination of the currency is recognized and it can be exchanged with lower denominations currency. In recognition technique, three characteristics of paper currencies including size, color and are used in the recognition. By using image histogram, plenitude of different colors in the paper currency is computed and compared with the one in the reference paper currency. The Markov chain concept has been employed to model texture of the paper currencies as a random process. The method proposed in this paper can be used for recognizing paper currencies from different countries. In this method, using only one intact example of paper currency from each denomination is enough for training the system. he embedded part controls and handles the assembly of insertion of the paper currency in the system and dispatch of the lower denomination currency