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
Note to Coin converter using Digital Image Processing Prof. Madhav Thigale1, Lina Ladhane2, Madhuri Mangutkar3 , Neha Gaikwad4 1Assistant
Professor, E&TC Dr. D. Y. Patil Institute of Engg. Management and Research, Pune, Maharashtra, India 234Student, E&TC, Dr. D. Y. Patil Institute of Engg. Management and Research, Pune, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Requirement of coins in a day to day transaction has increased; we have to suffer a lot for the change in various public places like bus station, railway station, malls, parks, even in rural areas. So we thought to develop an exchanger machine which will give us coins instead of notes. As there are lots of techniques to detect the Indian currency note, we are using fake note detection and digital image processing. A user will place the note and then with the help of image processing the Indian currency note will be identified. We are using MATLAB algorithm for detection of the value of note and we have implemented a fake note detection unit using UV LED and photodiode. Key Words: currency
DIP, Arduino UNO, Fake note, Indian
2.2 Image processing unit: 1. INTRODUCTION
In image processing various operators are used that are Robert, Sobel, Prewitt, Canny operators, these are edge detection methods. Currently Canny edge detector is known as one of the best edge detectors. Canny edge detector is an edge detection operator that uses multi stage algorithm to detect a wide range of edges in images and it requires less RAM to run on the memory.
At present note to coin converter is being used in various countries including India, but in India such systems are scarce and very few people know about it and also their availability is limited to few banks, but not at public places where the need is more. So our idea is to implement such system at public places which is smaller, lighter and does not require supervision. The main process of the project is to identify which note is placed in the machine with the help of image processing to identify and detect if the note is real or fake. If note is real camera takes picture of it and find’s out its value using image processing technique and then according to the value it gives equivalent number of coins. For detecting the note the MATLAB algorithm runs and the result is given to the controller which will manipulate the coin container through relays and motors, the user simply press the keypad for which type of change he wants whether one rupee, two rupee coins or five rupee or mixed and hence in the output we get coins as user requirement.
2.3 Segmentation Algorithm: Image segmentation is the process of partitioning a digital image into set of pixels. Image segmentation is typically used to locate objects and boundaries in images. If the object has sufficient contrast from the background it can be easily detected in an image. The object to be segmented differs in contrast from the background image. Any changes in the contrast will be detected by operators that are used to calculate the gradient of image. The gradient image can be calculated and a threshold can be applied to create a binary mask containing the segmented cell. The threshold method is based on clip level which turns a grey scale image into binary. The threshold value only allows 200 to 255 pixel values to pass behind a black background so that the 0 pixel value which is black is not passed and all the other white pixels are passed.
2. SYSTEM ARCHITECTURE 2.1 Note placing unit: The note is placed in exact position in the unit and the web camera takes the picture of the currency note placed and then it is sent to the image processing unit for fake note detection. The note should not be folded and nothing should be written on the note.
Š 2017, IRJET
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