Design and Implementation Android Application for Recognition of Fake Indian Currency

Authors(5) :-Mrudula P. Pande, Prachi P. Labhane, Sanika N. Raut, Shivani R. Chilwe, Prof. Roshan R. Kolte

In recent days, smartphones are key device for everyone with the progress of the advancement android Smartphone's are outfitted with additional application can help ostensibly tried society. These ostensibly tried have a less impression of their general environment and they stand up to a lot of inconvenience in perceiving currency. The ostensibly tried can't perceive the hurt currency notes and the Indian currency notes have a size complexity of just ten mm between two consecutive denominations and make it significantly impossible for an outwardly debilitated individual to choose it precisely. As a bit of currency affirmation structure for ostensibly tried, a successfully made strategies are Gaussian mix illustrate, Texture based affirmation and Neural frameworks. The structure to propose the technique for extracting the denomination of Indian currency note which can be used the control count that limits currency notes and shading planning framework used to perceived the currency note. The affirmation system is made the part is pre-processing, including recognizing edges, pressing data dimensionalities, and extracting features. This technique can be used further in seeing the currency notes with the help of feature extraction. The change of more Informative descriptors and furthermore the use of neighbourhood restrictions using computations and extracting the equipped for being heard message from the descriptor feature estimations of the photo data which will be advantage for the outwardly debilitated people.

Authors and Affiliations

Mrudula P. Pande
BE Scholar, Department of Information Technology, Karmaveer Dadasaheb Kannamwar College of Engineering, Nagpur, Maharashtra, India
Prachi P. Labhane
BE Scholar, Department of Information Technology, Karmaveer Dadasaheb Kannamwar College of Engineering, Nagpur, Maharashtra, India
Sanika N. Raut
BE Scholar, Department of Information Technology, Karmaveer Dadasaheb Kannamwar College of Engineering, Nagpur, Maharashtra, India
Shivani R. Chilwe
BE Scholar, Department of Information Technology, Karmaveer Dadasaheb Kannamwar College of Engineering, Nagpur, Maharashtra, India
Prof. Roshan R. Kolte
Assistant Professor, Department of Information Technology, Karmaveer Dadasaheb Kannamwar College of Engineering, Nagpur, Maharashtra, India

Fake Currency, Currency Circulation, Counterfeit Detection.

  1. Hanish Aggarwal, Padam Kumar, 2014 “Indian Currency Note Denomination Recognition in Color Images”, International Journal on Advanced Computer Engineering and Communication Technology Vol-1 Issue: 1: ISSN 2278 – 5140.
  2. Amol A. Shirsath, S.D Bharkad,2013 “Survey of currency recognition system using image processing”, International Journal of Computational Engineering Research, Vol, 03, Issue 7, 36-40,2013.
  3. Dipti Pawade, Pranchal Chaudhari, Harshada Sonkamble, 2013 “Comparative Study of Different Paper Currency and Coin Currency Recognition Method”, International Journal of Computer Applications (0975 – 8887), Volume 66– No.23, March 2013.
  4. Trupti Pathrabe.G, Mrs. Swapnili Karmore, 2011, A Novel Approach of Embedded System for Indian Paper Currency Recognition, International Journal of Computer Trends and Technology- May to June Issue 2011, ISSN: 2231-2803.
  5. Carlos Miguel Correia da Costa,” Multitier banknote recognition with component and shape analysis”.
  6. Trupti Pathrabe, G.2011, A Novel Approach of Embedded System for Indian Paper Currency Recognition, International Journal of Computer Trends and Technology- May to June Issue 2011, ISSN: 2231-2803.
  7. Faiz, M. H. and YingLi, 2010” Robust and effective component-based banknote recognition for the blind”, IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews, 1-10.
  8. Ji Qian, D. and Zhang, 2006, A Digit Recognition System for Paper Currency Identification Based on Virtual Instruments IEEE Transactions, 1-4244-0555-6/06, 2006.
  9. Tanaka, M. F. 1998, “Recognition of Paper Currencies by Hybrid Neural Network”, IEEE Transactions on Neural Networks, 0-7803-4859-1/98, 1998.
  10. Soille, P. 1994 "Geodesic Transformations in Mathematical Morphology: an Overview", Technical Report, School of Mines of Paris, N-24/94/MM, 1994.

Publication Details

Published in : Volume 3 | Issue 4 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 71-75
Manuscript Number : CSEIT1833127
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Mrudula P. Pande, Prachi P. Labhane, Sanika N. Raut, Shivani R. Chilwe, Prof. Roshan R. Kolte, "Design and Implementation Android Application for Recognition of Fake Indian Currency", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 4, pp.71-75, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833127

Article Preview

Follow Us

Contact Us