7 October 2014 Towards a "fingerprint" of paper network: separating forgeries from genuine by the properties of fibre structure
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Abstract
A novel method is introduced for distinguishing counterfeit banknotes from genuine samples. The method is based on analyzing differences in the networks of paper fibers. The main tool is a curvelet-based algorithm for measuring the distribution of overall fiber orientation and quantifying its anisotropy. The use of a couple or more appropriate parameters makes it possible to distinguish forgeries from genuine samples as concentrated point clouds in a two- or three-dimensional parameter space. Furthermore, the techniques of making watermarks is investigated by comparing genuine and counterfeit €50 banknotes. In addition, the so-called wire markings are shown to differ significantly from each other in all of investigated banknotes.
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Jouni Takalo, Jussi Timonen, Jouni Sampo, Maaria Rantala, Samuli Siltanen, Matti Lassas, "Towards a "fingerprint" of paper network: separating forgeries from genuine by the properties of fibre structure", Proc. SPIE 9253, Optics and Photonics for Counterterrorism, Crime Fighting, and Defence X; and Optical Materials and Biomaterials in Security and Defence Systems Technology XI, 92530A (7 October 2014); doi: 10.1117/12.2066809; https://doi.org/10.1117/12.2066809
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