Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dominik Sollinger"'
Autor:
Christof Kauba, Dominik Söllinger, Simon Kirchgasser, Axel Weissenfeld, Gustavo Fernández Domínguez, Bernhard Strobl, Andreas Uhl
Publikováno v:
Sensors, Vol 21, Iss 7, p 2248 (2021)
Recent developments enable biometric recognition systems to be available as mobile solutions or to be even integrated into modern smartphone devices. Thus, smartphone devices can be used as mobile fingerprint image acquisition devices, and it has bec
Externí odkaz:
https://doaj.org/article/aa97830d08444f8f8910d1f1b152ee9c
Publikováno v:
2022 International Conference of the Biometrics Special Interest Group (BIOSIG).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0effd271cac6e73924afd60aae29bb4
https://doi.org/10.1109/biosig55365.2022.9897050
https://doi.org/10.1109/biosig55365.2022.9897050
Publikováno v:
2022 International Workshop on Biometrics and Forensics (IWBF).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::511c2672e58c98e201b10b662aeb1abc
https://doi.org/10.1109/iwbf55382.2022.9794514
https://doi.org/10.1109/iwbf55382.2022.9794514
Autor:
Andreas Uhl, Dominik Sollinger
Publikováno v:
IJCB
2D contactless to contact-based fingerprint (FP) comparison is a challenging task due to different types of distortion introduced during the capturing process. While contact-based FPs typically exhibit a wide range of elastic distortions, perspective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff5025a7a97de87ef71660a665a51efb
https://doi.org/10.1109/ijcb52358.2021.9484364
https://doi.org/10.1109/ijcb52358.2021.9484364
Publikováno v:
ICPR
We study the impact of highly correlated image content on the estimated photo response non-uniformity (PRNU) of a sensor unit and its impact on the sensor identification performance. Based on eight publicly available finger vein datasets, we show for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::719784ab4ed8644ef79708e0760fc5a7
https://doi.org/10.1109/icpr48806.2021.9412194
https://doi.org/10.1109/icpr48806.2021.9412194
Publikováno v:
ICB
In this work, we study the applicability of PRNU-based sensor identification methods for finger vein imagery. We also investigate the effect of different image regions on the identification performance by looking at five different crop-pings with dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcacdc8bf5ff151d5b3b44bf2ba1ff56
https://doi.org/10.1109/icb45273.2019.8987237
https://doi.org/10.1109/icb45273.2019.8987237
Publikováno v:
IWBF
Non-reference image quality measures are used to distinguish real biometric data from data as used in presentation / sensor spoofing attacks. An experimental study shows that based on a set of 6 such measures, classification of real vs. fake iris, fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00a984acf8a3c5e3a0adfb31867f41f6
https://doi.org/10.1109/iwbf.2017.7935080
https://doi.org/10.1109/iwbf.2017.7935080
Publikováno v:
Image Analysis ISBN: 9783319591254
SCIA (1)
SCIA (1)
Non-reference image quality measures are used to distinguish real biometric data from data as used in presentation/sensor spoofing attacks. An experimental study shows that based on a set of 6 such measures, classification of real vs. fake fingervein
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00b26c59ab9a7dd5723a0b27de9505de
https://doi.org/10.1007/978-3-319-59126-1_16
https://doi.org/10.1007/978-3-319-59126-1_16
Autor:
Laurenz Ruzicka, Dominik Söllinger, Bernhard Kohn, Clemens Heitzinger, Andreas Uhl, Bernhard Strobl
Publikováno v:
IET Biometrics, Vol 2023 (2023)
Current fingerprint identification systems face significant challenges in achieving interoperability between contact-based and contactless fingerprint sensors. In contrast to existing literature, we propose a novel approach that can combine pose corr
Externí odkaz:
https://doaj.org/article/f99f12cebf1045b6bc568f2c0f0a3e00
Publikováno v:
IET Biometrics
Non-reference image quality measures (IQM) as well as their associated natural scene statistics (NSS) are used to distinguish real biometric data from fake data as used in presentation/sensor spoofing attacks. An experimental study shows that a suppo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85580a07efb4c76919899e98e1ba15e5