Search results for "Banknote"
showing 3 items of 3 documents
Analytical methods to determine cocaine contamination of banknotes from around the world
2008
Abstract The presence of cocaine in a significant number of UK pounds (Xxxx), Euros (€) and North American banknotes ($) in general circulation requires appropriate tools to do determinations. This article discusses the-state-of-the-art in the analysis of cocaine on banknotes. We summarize the usual extraction methods of currency samples and compare them, especially with respect to avoiding sample damage. We critically discuss analytical methods, namely gas chromatography (GC) and liquid chromatography (LC), capillary electrophoresis (CE), immunoassay, thermal desorption tandem mass spectrometry (TD-MS2) and ion-mobility spectrometry (IMS). We also review cocaine levels on banknotes around …
Towards a "fingerprint" of paper network; separating forgeries from genuine by the properties of fibre structure
2014
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…
Naudas zīmju viltojumu atpazīšana specifiskā lāzeru apgaismojumā
2018
Bakalaura darba mērķis ir noskaidrot, vai naudas zīmju apstarošanas metode specifiskā – trihromātiskā – lāzeru apgaismojumā var tikt pielietota eiro valūtas viltojumu atpazīšanai. Izmantojot speciālu ar viedtālruni aprīkotu iekārtu, oriģinālās un viltotās eiro naudas zīmes tika apgaismotas vienlaicīgi ar trīs viļņu garumu lāzeriem (473nm, 532nm un 659nm), un ar viedtālrunī iebūvēto RGB kameru tika uzņemti attēli. Izmantojot RGB pārklāšanās korekcijas algoritmu, iegūtie attēli Matlab vidē tika sadalīti trijos līdz kameras sensoram nonākušās gaismas intensitāti raksturojošos attēlos – pie katra no lāzeriem viens attēls. Šo attēlu masīvu vērtības tika izmantotas parametrisku attēlu iegūšanai. …