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Machine-assisted authentication of paper currency: an experiment on Indian banknotes

  • Ankush Roy
  • Biswajit HalderEmail author
  • Utpal Garain
  • David S. Doermann
Original Paper

Abstract

Automatic authentication of paper money is becoming an increasingly urgent problem because of new and improved uses of counterfeits. In this paper, we describe a system developed for discriminating fake notes from genuine ones and apply it to Indian banknotes. Image processing and pattern recognition techniques are used to design the overall approach. The ability of the embedded security aspects is thoroughly analysed for detecting fake currencies. Real samples are used in the experiments that show a high-precision machine can be developed for authentication of paper money. The system performance is reported for both accuracy and processing speed. The analysis of security features to prevent counterfeiting highlights some of the issues that should be considered in designing of currency notes in the future.

Keywords

Support Vector Machine Linear Discriminant Analysis Security Feature Printing Technique Currency Note 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors sincerely thank the questioned document examiners of the Central Forensic Science Laboratory (CFSL), Govt. of India and some staff of different Indian banks for their kind help and cooperation. One of the authors thanks Indo-US Science and Technology Forum for providing him with a Fellowship to do collaborative research in USA.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Department of Computing ScienceUniversity of AlbertaEdmontonCanada
  2. 2.Department of Computer ScienceThe University of BurdwanBardhamanIndia
  3. 3.CVPR UnitIndian Statistical UnitKolkataIndia
  4. 4.Institute of Advanced Computer StudiesUniversity of MarylandMDUSA

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