“Identification of Fake Currency Using Matlab”

Authors

  • 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

Keywords:

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

Abstract

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.

References

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International Journal of Scientific Research in Science and Technology

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Published

2018-01-30

Issue

Volume 4, Issue 3, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRST

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 4, Issue 3, pp.365-369, January-February-2018.