Fake Currency Recognition System Using Edge Detection

In this paper, we propose a system for currency recognition system and the detection of fake Indian currency banknotes using image processing techniques. It is hard for people to perceive monetary forms from various nations. Our point is to help individuals with taking care of this issue. In any case, money acknowledgement frameworks that are in light of picture investigation are entirely not adequate. Our framework depends on picture handling and makes the procedure programmed and vigorous. Our aim to assist those folks that are not ready to recognize which country's currency note was. We use banknotes which are currency, may differ the size, texture, color. Our system helps in Indian currency identification, which is a fake currency or not. In India,’ currency’ is Transaction, so there is more value for currency in our social and economic development. We have used MATLAB software to recognize other country currencies and Indian fake currency. Modernization within the money-related framework ensures financial improvement, and nowadays, the Indian government has become cognizant about this. Hence, Rs 1000 and Rs 500 notes’ demonetization is the foremost up-to-date case of it. However, we have Rs 2000 as another benefit showcase. In light of the top elevated worth note, quite possibly degenerate individuals will try to make it a fake. The real target of this project is to contemplate distinctive key highlights of recent certifiable money and utilize such systems to acknowledge and confirm new cash circled by India's depository institution. There are different strategies which are utilized to acknowledge fake notes and certifiable one. By utilizing various parts of Digital Image handling, such as picture preparing, Image Segmentation, feature extraction, and viewing pictures, we will then remove the highlights of certified notes. It is a problematic errand for recognizing counterfeit money.