Open Access Open Access  Restricted Access Subscription Access

Intelligent Note to Coin Exchanger with Fake Note Detection

Seema S. Patil, Shilpa S. Patil, Sushant S. Patil

Abstract


Nowadays, people are doing transaction digitally, but still in some rural areas people are using hard cash for transaction .Use of coins has been increased more instead of note in various places like bus station, railway station, shopping malls, temples, coin based water system etc. It is very difficult for common people in getting coins. To provide the solution for above mentioned problem, a system is designed. One mechanical machine that is intelligent note to coin exchanger with fake note detection. In proposed system, where when user enters the note, first it will check whether entered note is real or fake using UV rays, if note is real then it will take inside for further process and camera will take its picture, by calculating number of pixels using image processing; it will calculate the value of note, then according to the value equivalent numbers of coins will be dispensed. In this way, this system will help common people to have easy day to day life.


Full Text:

PDF

References


A. Bade, D. Aher (Mar. 2013), “Note to Coin Exchanger Using Image Processing”, IJRITCC, Volume 1, pp. 154−158.

Kajal Gawali, S.Patil (March 2016), “Note To Coin Exchanger with Fake note Detection”, ICRIEM-16, ISBN: 978-81-932074- 5-1.Euisun Choi, Jongseok Lee Joonhyun Yoon (March, 2006), “Feature Extraction for Bank Note Classification Using Wavelet Transform”, IEEE International Conference

Sharan kumar, D.Jayadevappa, Mamata V Shetty (2018), “A Novel approach for Segmentation and Classification of brain MR Images using Cluster Deformable Based Fusion Approach”, Periodicals of Engineering and Natural Sciences, Volume 6, Issue 2, pp. 237−242.

Otsu N. (1979), “A Threshold Selection method from Gray- Level Histograms”, IEEE Transaction on System Man and Cybernetics, Volume 9, pp. 62−66.

R. C. Gonzalez, R. E. Woods (2002), “Digital Image Processing”, 2nd ed. Prentice Hall, Inc., pp. 15−26.

Archana Bade, Dipali Aher, Prof Smita Kulkarni, (June, 2013), International Journal on Recent and Innovation Trends in Computing and Communication, pp. 154−158, ISSN: 2277-4804.

A. Bade, D. Aher (Mar. 2013), “Note to Coin Exchanger Using Image Processing”, IJRITCC, Volume 1, pp. 154−158.

Sharan kumar, D. Jayadevappa, Mamata V Shetty (July, 2018), “Fuzzy Deformable Based Fusion Approach for Tumor Segmentation and Classification in Brain MRI Images”, International Journal of Engineering & Technology(UAE), Science Publishing Corporation Inc, Volume 7, Issue 4, pp. 171−179.

Parminder Singh Reel, Gopal Krishan, Smarti Kotwal (January 2011),“Image Processing based Heuristic Analysis for Enhanced Currency Recognition”, International Journal of Advancements in Technology, Volume 2, Issue 1, http://ijict.org/ ISSN 0976-4860K. Elissa, “Title of paper if known,” unpublished.

Rubeena Mirza, Vinti Nanda (August 2012), “Design and Implementation of Indian Paper Currency Authentication System Based on Feature Extraction by Edge Based Segmentation Using Sobel Operator”, International Journal of Engineering Research and Development, Volume 3, Issue 2.

Sharan Kumar, Dr. Jayadevappa, Radhika R. Naik (April 2014), “Implementation of Image Edge Detection Using FPGA” International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS), Volume 3, Issue 4, pp. 69−72, ISSN 2278 2540.


Refbacks

  • There are currently no refbacks.