Abstract: Advances in colour printing technology have increased the level of printing of counterfeit note and duplication of notes on a much larger scale. A few years back, printing could not be done in a printing house, but now anyone can print a note of great accuracy using a simple laser printer. As a result, the issue of counterfeit notes instead of the actual ones has increased dramatically. India is unfortunately cursed by problems such as corruption and black money .And counterfeit money notes are also a major problem. This leads to the creation of a system that receives note of counterfeit currency in less time and in a more efficient way. The proposed system provides a way to validate Indian currency notes. Currency note validation is done for image processing concepts. This article describes the release of various aspects of Indian currency notes. MATLAB software is used to extract note features. There is therefore a need for a system that can make the process of separating counterfeit money more manageable and efficient. This paper is an attempt to create a program that will take a scanned picture of suspicious notes of Rs.10, Rs.20, Rs.50, Rs.100, Rs.500 & Rs.2000 and get fake notes to provide a promising solution to the problem of counterfeit money.
Keywords: Rs.10, Rs.20, Rs.50, Rs.100, Rs.500 & Rs.2000, Image Processing, MATLAB, Counterfeit notes, maximum accuracy.
| DOI: 10.17148/IJARCCE.2022.11442