“Identification of Fake Currency Using Matlab”

Authors(5) :-Apurva Rangari, Asina Khan, Alfiya Sadaf, Priyadarshini Das, Asst. Prof. Tirupati Goskula

The use of counterfeit currency is one of the major issues faced throughout the world nowadays .The counterfeiters are becoming harder to track down because of their use of highly advanced technology. One of the most effective methods to stop counterfeiting can be the outspread use of various counterfeit detection tools/software that are easily available and are efficient .This is a MATLAB based application which will help recognize a bank-note based on its denomination on an application window. The method will be based on image pre-processing followed by a classification of note. This article describes extraction of various features of Indian currency notes. MATLAB software is used to extract the features of the note. The proposed system has got advantages like simplicity and high-performance speed. The result will predict whether the currency note is fake or not.

Authors and Affiliations

Apurva Rangari
Department of Electronics & Telecommunication , ACET, Nagpur, Maharashtra, India
Asina Khan
Department of Electronics & Telecommunication , ACET, Nagpur, Maharashtra, India
Alfiya Sadaf
Department of Electronics & Telecommunication , ACET, Nagpur, Maharashtra, India
Priyadarshini Das
Department of Electronics & Telecommunication , ACET, Nagpur, Maharashtra, India
Asst. Prof. Tirupati Goskula
Department of Electronics & Telecommunication , ACET, Nagpur, Maharashtra, India

Fake Currency, Image Pre-Processing, Feature Extraction, Recognition, SURF

  1. D.Alekhya, G.DeviSuryaPrabha and G.VenkataDurgaRao, "Fake Currency Detection Using Image Processing and Other Standard Methods" International Journal of Research in Computer and Communication Technology, Vol 3, Issue 1, pp.128-131, January- 2014 Coleri, S., Ergen, M., Puri, A., and Bahai, A., "Channel Estimation Techniques Based on Pilot Arrangement in OFDM Systems," IEEE Transactions on Broadcasting, vol. 48, pp. 223–229, Sept.
  2. Kishan Chakraborty, Jordan Basumatary, Debasmita Dasgupta, Subra Mukherjee, Jagadish Chandra Kalita "RECENT DEVELOPMENTS IN PAPER CURRENCY RECOGNITION SYSTEM" IJRET: International Journal of Research in Engineering and Technology, Vol.2, Issue 11, pp.222-226
  3. Megha Thakur, Amrit Kaur, "VARIOUS FAKE CURRENCY DETECTION TECHNIQUES" International Journal For Technological Research In Engineering Volume 1, Issue 11, pp.1309-1313, July-2014
  4. Raymond M. Klein, Simon Gadbois, John J. Christie, "Perception and Detection of Counterfeit Currency in Canada: Note Quality, Training and Security Features" IS&T/SPIE 16th International Symposium Electronic Imaging: Science and Technology, session on Optical Security and Counterfeit Deterrence Techniques V. Volume 5310 (January, 2004 San Jose, Ca)
  5. Vishnu R, Bini Omman, "Principal component Analysis on Indian Currency Recognition" 2014 5th International Conference on Computer and Communication Technology 978-1-4799-6758-2/14/$31.00 2014 IEEE 291, pp.291-296, 2014
  6. Prof. Sowmyashree, ShreyaShetty, TruptiGhotkar, ChirayuYadav, SurajKanojia, "Currency Recognition and Fake Note Detection." IJREAT:
  7. International Journal of Research in Engineering & Advanced Technology, Volume 3, Issue 5, pp.179-182, ISSN: 2320-8791, , Oct-Nov, 2015  ShreyaShetty, TruptiGhotkar, ChirayuYadav, SurajKanojia, Prof. Sowmyshree, "Currency Denomination", IJSRD, NCTAA-2016, January 2016
  8. http://searchmobilecomputing.techtarget.com/definition/text-to-speech
  9. https://en.wikipedia.org/wiki/Median_filter
  10. http://www.oalib.com/paper/2090901#.VvlxrHpRJdg/

Publication Details

Published in : Volume 4 | Issue 3 | January-February 2018
Date of Publication : 2018-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 365-369
Manuscript Number : NCAEAS4375
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Apurva Rangari, Asina Khan, Alfiya Sadaf, Priyadarshini Das, Asst. Prof. Tirupati Goskula, " “Identification of Fake Currency Using Matlab”", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 4, Issue 3, pp.365-369, January-February-2018.
Journal URL : http://ijsrst.com/NCAEAS4375

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