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   	<dc:title>Printing technique classification for document counterfeit detection</dc:title>
   	<dc:creator>Christoph Lampert ; https://orcid.org/0000-0001-8622-7887</dc:creator>
   	<dc:creator>Mei,Lin</dc:creator>
   	<dc:creator>Breuel,Thomas M</dc:creator>
   	<dc:description>The detection of counterfeit in printed documents is currently based mainly on built-in security features or on human expertise. We propose a classification system that supports non-expert users to distinguish original documents from PC-made forgeries by analyzing the printing technique used. Each letter in a document is classified using a support vector machine that has been trained to distinguish laser from inkjet printouts. A color-coded visualization helps the user to interpret the per-letter classification results</dc:description>
   	<dc:publisher>IEEE</dc:publisher>
   	<dc:date>2006</dc:date>
   	<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
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   	<dc:type>text</dc:type>
   	<dc:type>http://purl.org/coar/resource_type/c_5794</dc:type>
   	<dc:identifier>https://research-explorer.ista.ac.at/record/3680</dc:identifier>
   	<dc:source>Lampert C, Mei L, Breuel T. Printing technique classification for document counterfeit detection. In: Vol 1. IEEE; 2006:639-634. doi:&lt;a href=&quot;https://doi.org/10.1109/ICCIAS.2006.294214&quot;&gt;10.1109/ICCIAS.2006.294214&lt;/a&gt;</dc:source>
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