untitled
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<identifier>oai:HAL:hal-01165888v1</identifier>
<datestamp>2015-06-23</datestamp>
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<setSpec>collection:IGS2015</setSpec>
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<metadata><dc>
<publisher>HAL CCSD</publisher>
<title lang=en>Hyper-spectral Analysis for Automatic Signature Extraction</title>
<creator>Malik, Muhammad Imran </creator>
<creator>Ahmed, Sheraz</creator>
<creator>Shafait, Faisal</creator>
<creator>Mian, Ajmal Saeed </creator>
<creator>Nansen, Christian</creator>
<creator>Dengel, Andreas</creator>
<creator>Liwicki, Marcus</creator>
<contributor>German Research Center for Artificial Intelligence (DFKI) ; DFKI</contributor>
<contributor>The University of Western Australia (UWA)</contributor>
<contributor>Department of Informatics ; University of Fribourg</contributor>
<description>International audience</description>
<source>17th Biennial Conference of the International Graphonomics Society</source>
<coverage>Pointe-à-Pitre, Guadeloupe</coverage>
<contributor>International Graphonomics Society (IGS)</contributor>
<contributor>Université des Antilles (UA)</contributor>
<contributor>Céline Rémi</contributor>
<contributor>Lionel Prévost</contributor>
<contributor>Eric Anquetil</contributor>
<identifier>hal-01165888</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165888</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165888/document</identifier>
<identifier>https://hal.univ-antilles.fr/hal-01165888/file/IGS_2015_submission_18.pdf</identifier>
<source>https://hal.univ-antilles.fr/hal-01165888</source>
<source>Céline Rémi; Lionel Prévost; Eric Anquetil. 17th Biennial Conference of the International Graphonomics Society, Jun 2015, Pointe-à-Pitre, Guadeloupe. 2015, Drawing, Handwriting Processing Analysis: New Advances and Challenges</source>
<language>en</language>
<subject>[INFO] Computer Science [cs]</subject>
<type>info:eu-repo/semantics/conferenceObject</type>
<type>Conference papers</type>
<description lang=en>Signatures are one of the most accessible and prevailed ways of authenticating documents.Over the last many years, a large number of signature verication systems have been reported. Acommon assumption in nearly all of these system is that the signatures are available readily extractedfrom documents. In this paper we provide a detailed literature survey on the subject and arguethat pre-extracted signatures are not always available especially in forensic cases. Furthermore, wepresent a novel system of automatically extracting signatures from documents with the help ofhyper-spectral imaging. Initial experiments reveal that the proposed idea possess great potential toform a baseline signature extraction system above whom any signature verication system can beadjuncted for signature verication.</description>
<date>2015-06-21</date>
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