Indian Paper Currency Recognition Using Weighted Euclidean Distance

Authors

  • M. Thuslima  ECE Department, PET Engineering College, Vallioor, Tamil Nadu, India
  • V. Sudha  ECE Department, PET Engineering College, Vallioor, Tamil Nadu, India
  • P. Selva Nila  ECE Department, PET Engineering College, Vallioor, Tamil Nadu, India
  • G. Bharatha Sreeja  ECE Department, PET Engineering College, Vallioor, Tamil Nadu, India

Keywords:

Paper Currency, Money Exchange, MATLAB, Correlation.

Abstract

Paper currency recognition plays a vital role in area of pattern recognition. One of the intelligent systems is recognition of paper currency. Electronic banking, money exchange machine, currency monitoring system, etc are the important application of currency recognition. This paper proposes the detection of currency using currency recognition system. Some of the features are fished out like dimension, area, Euler’s number, correlation between images. The method includes only Indian paper currency. It uses weighted Euclidean distance for classification. This method uses both the original and fake currency. Both the currencies are identified by using MATLAB. The proposed technique produces the accurate result in terms of efficiency and recognition.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

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Copyright (c) IJSRCSEIT

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

How to Cite

[1]
M. Thuslima, V. Sudha, P. Selva Nila, G. Bharatha Sreeja, " Indian Paper Currency Recognition Using Weighted Euclidean Distance, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.514-516, March-April-2017.