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Fake Currency detection using opencv and machine learning

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Fake Indian Currency Note (FICN) is a term used by officials and media to refer to counterfeit currency notes circulated in the Indian economy. However several central and state agencies are working together and the Ministry of Home Affairs has constituted the Fake Indian Currency Notes Co-ordination Centre (FCORD) to curb this menace. We propose a new approach to detect fake Indian notes using mobile camera and Image processing. We will convert Indian currency into more the 150+ different currencies values to help tourist all over the world. In this project we match features between two images using Brute-Force Matching with ORB Descriptors. After applying BF Matcher with ORB we get Matcher Object and by using knn Match we get the list of best k matches depending upon the value of k.
Fake Currency detection using opencv and machine learning
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