Fake Currency Detection Using Image ProcessingJournal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 4)
Publication Date: 2019-04-30
Authors : Vidhi Roy; Gangey Mishra; Rahul Mannadiar; Sushant Patil;
Page : 88-93
Keywords : Counterfeit currency; Image Processing; Python programming language; grayscale conversion; edge detection; segmentation;
Fake Currency has always been an issue which has created a lot of problems in the market. The increasing technological advancements have made the possibility for creating more counterfeit currency which are circulated in the market which reduces the overall economy of the country. There are machines present at banks and other commercial areas to check the authenticity of the currencies. But a common man does not have access to such systems and hence a need for a software to detect fake currency arises, which can be used by common people. This proposed system uses Image Processing to detect whether the currency is genuine or counterfeit. The system is designed completely using Python programming language. It consists of the steps such as grayscale conversion, edge detection, segmentation, etc. which are performed using suitable methods.
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Last modified: 2019-04-19 22:02:58