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Volume & Issue no: Volume 9, Issue 5, May 2020

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Title:
Machine Learning based Currency Note Recognition using Python
Author Name:
Dr.CN.sujatha , K.Sharath Kumar , N.anirudh , T. rakesh
Abstract:
ABSTRACT This paper presents currency recognition for the blind people. The proposed system can be utilized for automated currency recognition using image processing techniques. This algorithm designed for recognizing denomination value of paper currencies only. The designed system displays denomination value and also generates voice output stating value of currency note. Thus, a person can know denomination value just by putting currency in front of the digital camera. Even this system can be greatly useful for people who cannot read on currency note. It works as an artificial intelligence agent for people in identifying currencies. This system is based on machine learning as it uses supervised learning method by utilising the information present in the database to identify currency notes. Here, denomination value is extracted using predefined qualities like size, colour, text on the note. Our framework can precisely and rapidly distinguish test notes. It can also be used in forex and ATMs. Keywords: Image processing techniques, Currency recognition, Denomination value, Forex, ATM.
Cite this article:
Dr.CN.sujatha , K.Sharath Kumar , N.anirudh , T. rakesh , " Machine Learning based Currency Note Recognition using Python" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 9, Issue 5, May 2020 , pp. 014-020 , ISSN 2319 - 4847.
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