7 October 2014 Towards a "fingerprint" of paper network: separating forgeries from genuine by the properties of fibre structure
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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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jouni Takalo, Jouni Takalo, Jussi Timonen, Jussi Timonen, Jouni Sampo, Jouni Sampo, Maaria Rantala, Maaria Rantala, Samuli Siltanen, Samuli Siltanen, Matti Lassas, 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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