Using the fibre structure of paper to determine authenticity of the documents: Analysis of transmitted light images of stamps and banknotes.

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Title: Using the fibre structure of paper to determine authenticity of the documents: Analysis of transmitted light images of stamps and banknotes.
Authors: Takalo, Jouni1 jojuta@gmail.com, Timonen, Jussi1,2, Sampo, Jouni3,4, Rantala, Maaria4, Siltanen, Samuli4, Lassas, Matti4
Source: Forensic Science International. 2014, Vol. 244, p252-258. 7p.
Subjects: Image analysis, Image transmission, Bank notes, Fraud, Parameter estimation, Anisotropy
Abstract: A novel method is presented for distinguishing postal stamp forgeries and counterfeit banknotes from genuine samples. The method is based on analyzing differences in paper fibre networks. The main tool is a curvelet-based algorithm for measuring overall fibre orientation distribution and quantifying anisotropy. Using a couple of more appropriate parameters makes it possible to distinguish forgeries from genuine originals as concentrated point clouds in two- or three-dimensional parameter space. [ABSTRACT FROM AUTHOR]
Copyright of Forensic Science International is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Using the fibre structure of paper to determine authenticity of the documents: Analysis of transmitted light images of stamps and banknotes.
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  Data: <searchLink fieldCode="AR" term="%22Takalo%2C+Jouni%22">Takalo, Jouni</searchLink><relatesTo>1</relatesTo><i> jojuta@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Timonen%2C+Jussi%22">Timonen, Jussi</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Sampo%2C+Jouni%22">Sampo, Jouni</searchLink><relatesTo>3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Rantala%2C+Maaria%22">Rantala, Maaria</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Siltanen%2C+Samuli%22">Siltanen, Samuli</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Lassas%2C+Matti%22">Lassas, Matti</searchLink><relatesTo>4</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Forensic+Science+International%22">Forensic Science International</searchLink>. 2014, Vol. 244, p252-258. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Image+analysis%22">Image analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Image+transmission%22">Image transmission</searchLink><br /><searchLink fieldCode="DE" term="%22Bank+notes%22">Bank notes</searchLink><br /><searchLink fieldCode="DE" term="%22Fraud%22">Fraud</searchLink><br /><searchLink fieldCode="DE" term="%22Parameter+estimation%22">Parameter estimation</searchLink><br /><searchLink fieldCode="DE" term="%22Anisotropy%22">Anisotropy</searchLink>
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  Label: Abstract
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  Data: A novel method is presented for distinguishing postal stamp forgeries and counterfeit banknotes from genuine samples. The method is based on analyzing differences in paper fibre networks. The main tool is a curvelet-based algorithm for measuring overall fibre orientation distribution and quantifying anisotropy. Using a couple of more appropriate parameters makes it possible to distinguish forgeries from genuine originals as concentrated point clouds in two- or three-dimensional parameter space. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Forensic Science International is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.forsciint.2014.09.002
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        Text: English
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      – SubjectFull: Anisotropy
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