Human perception based counterfeit detection for automated teller machines

Authors:
Taswar Iqbal;Volker Lohweg;Dinh Khoi Le;Michael Nolte
Affiliations:
Institut Industrial IT, Ostwestfalen-Lippe University of Applied Science, Lemgo, Germany;Institut Industrial IT, Ostwestfalen-Lippe University of Applied Science, Lemgo, Germany;Wincor Nixdorf International GmbH, Paderborn, Germany;Wincor Nixdorf International GmbH, Paderborn, Germany
Venue:
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Year:
2009

Citing 2
Cited 0

Computer and Robot Vision

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IMVIP '07 Proceedings of the International Machine Vision and Image Processing Conference

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Abstract

A robust vision system for the counterfeit detection of bank ATM keyboards is presented. The approach is based on the continuous inspection of a keyboard surface by the authenticity verification of coded covert surface features. For the surface coding suitable visual patterns on the keyboard are selected while considering constraints from the visual imperceptibility, robustness and geometrical disturbances to be encountered from the aging effects. The system's robustness against varying camera-keyboard distances, lighting conditions and dirt-and-scratches effects is investigated. Finally, a demonstrator working in real-time is developed in order to publicly demonstrate the surface authentication process.