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

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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.

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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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Authors and Affiliations

  1. Department of Computing Science, University of Alberta, Edmonton, T6G 2E8, Canada

    Ankush Roy

  2. Department of Computer Science, The University of Burdwan, Bardhaman, WB, India

    Biswajit Halder

  3. CVPR Unit, Indian Statistical Unit, 203 BT Road, Kolkata, 70018, India

    Utpal Garain

  4. Institute of Advanced Computer Studies, University of Maryland, College Park, MD, USA

    David S. Doermann

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  1. Ankush Roy
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  2. Biswajit Halder
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  3. Utpal Garain
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  4. David S. Doermann
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Correspondence to Biswajit Halder.

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Roy, A., Halder, B., Garain, U. et al. Machine-assisted authentication of paper currency: an experiment on Indian banknotes. IJDAR 18, 271–285 (2015). https://doi.org/10.1007/s10032-015-0246-y

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  • DOI: https://doi.org/10.1007/s10032-015-0246-y

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