Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Kauba, Christof"'
Natural Scene Statistics commonly used in non-reference image quality measures and a deep learning based quality assessment approach are proposed as biometric quality indicators for vasculature images. While NIQE and BRISQUE if trained on common imag
Externí odkaz:
http://arxiv.org/abs/2302.09973
Fake fingerprint representation pose a severe threat for fingerprint based authentication systems. Despite advances in presentation attack detection technologies, which are often integrated directly into the fingerprint scanner devices, many fingerpr
Externí odkaz:
http://arxiv.org/abs/2012.00606
Autor:
Kauba, Christof, Piciucco, Emanuela, Maiorana, Emanuele, Gomez-Barrero, Marta, Prommegger, Bernhard, Campisi, Patrizio, Uhl, Andreas
Publikováno v:
In Information Sciences March 2022 585:395-417
Akademický článek
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Autor:
Arıcan, Tuğçe, Veldhuis, Raymond, Spreeuwers, Luuk, Bergeron, Loïc, Busch, Christoph, Jalilian, Ehsaneddin, Kauba, Christof, Kirchgasser, Simon, Marcel, Sébastien, Prommegger, Bernhard, Raja, Kiran, Ramachandra, Raghavendra, Uhl, Andreas
Publikováno v:
IET Biometrics (Wiley-Blackwell); 3/25/2024, Vol. 2024, p1-21, 21p
Akademický článek
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Finger vein biometrics are of growing influence in daily life high-security applications like financial transactions. Several application areas of finger vein recognition systems exhibit different environmental and non-environmental conditions, e.g.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::a57dba9f6037817abb6fa8b3c20c1ec6
https://eplus.uni-salzburg.at/doi/10.1007/978-3-030-27731-4_7
https://eplus.uni-salzburg.at/doi/10.1007/978-3-030-27731-4_7
One of the main prerequisites in finger vein research is the availability of comprehensive, available finger vein datasets. In order to capture such datasets, a biometric scanner device tailored to capture the vascular patterns is essential. A sophis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::7cb2088715ba8ad76a6ced66202186f9
Autor:
Kauba, Christof, Uhl, Andreas
An available recognition toolkit is one of the basic requirements for conducting research in finger- and hand vein recognition. Currently, there is only one comprehensive, open-source, software package available, which includes a full finger vein rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::6fbc6501e3e89d88da8b90100fd0f4c5
https://eplus.uni-salzburg.at/doi/10.1007/978-3-030-27731-4_4
https://eplus.uni-salzburg.at/doi/10.1007/978-3-030-27731-4_4
In finger vein recognition, the palmar view of the finger is used almost exclusively, with some exceptions where the dorsal view is utilised. Only little attention has been paid to all other views around the fingers longitudinal axis. We established
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3941::c38b09e4fc99fe8b50c5a9ef1ba83e22
https://eplus.uni-salzburg.at/doi/10.1007/978-3-030-27731-4_10
https://eplus.uni-salzburg.at/doi/10.1007/978-3-030-27731-4_10