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. 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 (Article 92530A). SPIE - International Society for Optical Engineering. SPIE conference proceedings, 9253. https://doi.org/10.1117/12.2066809
Published in
SPIE conference proceedingsAuthors
Editors
Date
2014Copyright
© 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.
Publisher
SPIE - International Society for Optical EngineeringParent publication ISBN
978-1-62841-316-8Conference
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence; Optical Materials and Biomaterials in Security and Defence Systems TechnologyIs part of publication
Optics and Photonics for Counterterrorism, Crime Fighting, and Defence X; and Optical Materials and Biomaterials in Security and Defence Systems Technology XIISSN Search the Publication Forum
0277-786XPublication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/24034569
Metadata
Show full item recordCollections
Related items
Showing items with similar title or keywords.
-
Towards Service-oriented 5G : Virtualizing the Networks for Everything-as-a-Service
Chang, Zheng; Zhou, Zhenyu; Zhou, Sheng; Chen, Tao; Ristaniemi, Tapani (Institute of Electrical and Electronics Engineers, 2018)It is widely acknowledged that the forthcoming 5G architecture will be highly heterogeneous and deployed with high degree of density. These changes over the current 4G bring many challenges on how to achieve an efficient ... -
Towards the understanding of the genuine three-body interaction for p–p–p and p–p–Λ
ALICE Collaboration (Springer, 2023)Three-body nuclear forces play an important role in the structure of nuclei and hypernuclei and are also incorporated in models to describe the dynamics of dense baryonic matter, such as in neutron stars. So far, only ... -
An efficient grid-based RF fingerprint positioning algorithm for user location estimation in heterogeneous small cell networks
Mondal, Riaz; Turkka, Jussi; Ristaniemi, Tapani (IEEE, 2014)This paper proposes a novel technique to enhance the performance of grid-based Radio Frequency (RF) fingerprint position estimation framework. First enhancement is an introduction of two overlapping grids of training ... -
RF fingerprinting for user locationing in LTE/WLAN networks
Khandker, Syed Ibrahim (2016)Location based applications and services have become popular in many wireless communication devices. This thesis study presents a performance evaluation of Radio Frequency (RF) fingerprinting framework in heterogeneous ... -
Genetic Algorithm Optimized Grid-based RF Fingerprint Positioning in Heterogeneous Small Cell Networks
Mondal, Riaz; Ristaniemi, Tapani; Turkka, Jussi (IEEE, 2015)In this paper we propose a novel optimization algorithm for grid-based RF fingerprinting to improve user equipment (UE) positioning accuracy. For this purpose we have used Multi-objective Genetic Algorithm (MOGA) which ...