International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
Currency Recognition System Using Image Processing Prof. Sagar S.Rajebhosale, Devang S.Gujarathi, Sushil V.Nikam, Prathmesh P.Gogte, Nilesh M.Bahiram Guided By – Prof. S.S Rajebhosale, Dept. Information Technology, Pune Vidyarthi Griha’s College of Engineering, Nasik, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The Reserve Bank is the one which issue bank notes in India. Reserve Bank, changes the design of bank notes from time to time. Reserve bank uses several techniques to detect fake currency. Common people faces many problems for the fake currency circulation and also difficult to detect fake currency, suppose that a common people went to a bank to deposit money in bank but only to see that some of the notes are fake, in this case he has to take the blame. As banks will not help that person. Some of the effects that fake currency has on society include a reduction in the value of real money; and inflation due to more fake currency getting circulated in the society or market which disturbs our economy and growth - an some illegal authorities an artificial increase in the money supply,a decrease in the acceptability of paper money and losses. Our aim is to help common man to recognize currency for originality. Proposed system is based on image processing and makes the process automatic and robust. Shape information are used in our algorithm. Original Note Detection Systems are present in banks but are very costly. We are developing an image processing algorithm which will extract the currency features and compare it with features of original note image. This system is cheaper and can provide accuracy on the basics of visual contents of note. So, as an output, people will get information provided the note image is original or duplicate.
Key Words: Currency detection, Fake currency, Image processing, Template matching, Counterfeit note.
There are 50 currencies all over the world, with each of them looking totally different. For e.g. the size of the paper may vary, and also color and pattern may different. People have to remember the features of each currency. This may cause some problems (e.g.wrong recognition), so people need an efficient and exact system to help their work. The aim of our proposed system is to help people who need to recognize their currency, and work with convenience and efficiency. For bank staffs, there is a Currency Sorting Machine which is an electronic device which helps them to recognize currencies. The main working processes of Currency Sorting Machine are image acquisition and recognitions. It has an |
Impact Factor value: 5.181
1.1 Relevance The relevance of a project shows how efficient the output of the project which is to be specified by the evaluation or by using the project which were being submitted. That means the relevance of a project is always to be related to some goal and , for general research projects, such goal is mostly increase of our scientific knowledge, although it is sometimes also related to more direct social environmental benefits for our society. In this proposed system, our relevance is to focus on detection of fake currencies which is spreaded in Indian market also our main goal is to use image processing technique and recognize original currency[1].Relevance of our project is similar to currency recognition system using neural networks . That paper identifies, and extracts robust features from banknotes. Now a days many ways are found for currency recognition also most of the people manually recognizes currency which is sometimes mistakenly not recognize by some people to build a system so the system can recognize all kind of currencies which is useful to common man[4].
1.2 System Background
1.INTRODUCTION
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technique named optical, mechanical and electronic integration, integrated with calculation, pattern recognition(high speed image processing). It is accurate and highly-efficient. But for most staffs,they have to keep a lot of different features and anti-fakes label for different commonly-used currency in their mind.
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The proposed web portal will help common people for currency recognition anywhere anytime. Automatic method for detection of fake currency note is very important in every country. In this approach system extract the general attributes of the paper currency like various dominant parts of image of currency note (like identification marks, latent image, etc). [6] The identification marks helps to know the denomination of currency. These marks of currency helps to detect fake or genuine. The system will be developed to check different currency notes of 100, 500 and 1000 rupees. The Web Application will display currency denomination and either currency is genuine or fake. The system simply extracts feature of currency which were match with original currency features and immediately displays result with ISO 9001:2008 Certified Journal
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