DEVELOPING AN AUTOMATED COUNTERFEIT CURRENCY RECOGNITION SYSTEM BY EMPLOYING SVM WITH NOTE TO COIN EXCHANGER FEATURE

Atul Kalkhanda

Vol. 6, Jan-Dec 2020

Page Number: 018-023

Abstract:

The normal citizens are the most noticeably terrible hit as fake banknotes have gotten so profoundly inserted in the Indian economy that even banks and ATMs are dispensing fake cash. From nearby vegetable merchant to the petroleum product vendors, everyone is concerned about tolerating monetary certificates in the group of Rs.100, Rs.500 and Rs.2000 as a huge number of fake Indian currency notes are practically difficult to separate from real currency. So as to manage such sorts of issues, a computerized Recognition of cash notes is presented with the assistance of highlight Extraction, using SVM. SVM characterizes the fragments utilizing its datasets. This method is considered with the machine vision where all the handling with the picture is done by machine. Just as Requirement of coins is expanding at places like transport stand, railroad station, shopping center and park. The principle intention behind the undertaking is to structuring a productive and basic machine fake cash acknowledgment which will satisfy need of coins for exchanges so individuals won't face issue of coins. This undertaking is to give coins to real notes, for this reason, we have created a mechanical coin administering a model in which the camera takes an image of note. After that, it's discovering its worth utilizing picture preparing method and afterward as per the worth proportional number of coins is dispensed.

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