Indian Paper Currency Recognition Using Weighted Euclidean Distance

Authors(4) :-M. Thuslima, V. Sudha, P. Selva Nila, G. Bharatha Sreeja

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.

Authors and Affiliations

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

Paper Currency, Money Exchange, MATLAB, Correlation.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 514-516
Manuscript Number : CSEIT1722171
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

M. Thuslima, V. Sudha, P. Selva Nila, G. Bharatha Sreeja, "Indian Paper Currency Recognition Using Weighted Euclidean Distance", International 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.
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