www.ijcrt.org © 2018 IJCRT | Volume 6, Issue 2 April 2018 | ISSN: 2320-2882 IJCRT1892721 International Journal of Creative Research Thoughts (IJCRT) www.ijcrt.org 304 Fuel Automation Using Currency Recognition Prof. Shilpa Sonawane,Sandeep Kore,Vinita Halwane, Priyanka Kothawade. Department of Electronics and telecommunication Engineering, JSPM’s Rajarshi Shahu College of Engineering, Tathawade, Pune-33. ________________________________________________________________________________________________________ Abstract : As increase in the technology like scanning, colour printing and duplicating because of that there is increase in counterfeit problem. This paper develops a new technique for fuel automation using currency recognition. This system is based on fake currency note detection technique using feature extraction with HSV (Hue, Saturation, and Value) colour space. IndexTerms: fake currency, counterfeit detection, feature extraction. _______________________________________________________________________________________________________ I. INTRODUCTION: Manual testing of all notes in transactions is very time consuming and also there is a chance of tearing while handing notes. Therefore Automatic methods for bank note recognition is require in many applications such as automatic selling-goods and vending machines. Extracting sufficient characteristics from the currency image is essential for accuracy and robustness of the automated system. This is a challenging issue to system designers .Automatic method for detection of fake currency note is very important in every country. Currency is used as a medium of exchange for goods and services. Human error is huge concern in cases where large amount of cash transactions are conducted. Notes with the legal sanction of the government possess certain security features such as Intaglio printing, fluorescence and watermark as seen in fig.1. Figure.1.Indian bank note with security feature marked. A. Water Marking Mahatma Gandhi watermark is visible in the left panel when seen against a light. This is detected using a white Backlight in the scanning system. The ROI of a counterfeit note will have a different mean pixel intensity as well as standard deviation than that of the reference values, indicating its validity. B. Identification Mark Each note has its special identification mark. There are different shapes of identification mark for different denominationsuch as Rs.100-triangle, Rs.200-H symbol, Rs.500-circle, Rs.2000-rectangle. The identification mark is present on the left of watermark. Older system were not reliable enough for fuel automation using currency detection technique. The mainaim of this project is to check to the currency and supply the fuel according to specific currency and display the status. The system brings the new quality in fuel automation: – Time saving, – Flexibility, – Accuracy, – Efficiency. II. LITRATURE SURVEY : After analyzing the requirements of the task to be performed, the next step is to analyze the problem and understanding its context. The first activity in the phase is studying the existing system and other is to understand the requirements and domain of the new system. Both the activities are equally important, but the first activity serves as a basis of giving the functional specifications and then successful design of the proposed system. Understanding the properties and requirements of a new system is more difficult and requires creative thinking and understanding of existing running system is also difficult, improper understanding of present system can lead diversion from solution. The proposed design involved the following research paper analysis: