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Indian Paper Currency Recognition Using Weighted Euclidean Distance

Author

Listed:
  • M. Thuslima
  • V. Sudha
  • P. Selva Nila
  • G. Bharatha Sreeja

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.

Suggested Citation

  • M. Thuslima & V. Sudha & P. Selva Nila & G. Bharatha Sreeja, 2017. "Indian Paper Currency Recognition Using Weighted Euclidean Distance," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(2), pages 514-516, April.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i2:id:hcseit1722171
    Note: Article URL: https://ijsrcseit.com/CSEIT1722171
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