Machine Learning based Currency Note Recognition using PythonJournal: International Journal of Application or Innovation in Engineering & Management (IJAIEM) (Vol.9, No. 5)
Publication Date: 2020-06-18
Authors : Dr.CN.sujatha K.Sharath Kumar N.anirudh T. rakesh;
Page : 014-020
Keywords : ;
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.
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