Towards a "fingerprint" of paper network; separating forgeries from genuine by the properties of fibre structure
Takalo, J., Timonen, J., Sampo, J., Rantala, M., Siltanen, S., & Lassas, M. (2014). Towards a "fingerprint" of paper network; separating forgeries from genuine by the properties of fibre structure. In D. Burgess, G. Owen, H. Rana, R. Zamboni, F. Kajzar, & A. Szep (Eds.), Optics and Photonics for Counterterrorism, Crime Fighting, and Defence X; and Optical Materials and Biomaterials in Security and Defence Systems Technology XI (pp. 92530A). SPIE conference proceedings (9253). SPIE - International Society for Optical Engineering. doi:10.1117/12.2066809
Published inSPIE conference proceedings
© SPIE, The International Society for Optics and Photonics.
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 e50 banknotes. In addition, the so-called wire markings are shown to differ significantly from each other in all of investigated banknotes.