Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Olaf Henniger"'
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-21 (2024)
Abstract The quality score of a biometric sample is intended to predict the sample’s degree of utility for biometric recognition. Different authors proposed different definitions for utility. A harmonized definition of utility would be useful to fa
Externí odkaz:
https://doaj.org/article/e918be4f2f334badafd96fa0305b7e07
Autor:
Christoph Busch, Adam Czajka, Farzin Deravi, Pawel Drozdowski, Marta Gomez‐Barrero, Georg Hasse, Olaf Henniger, Els Kindt, Jascha Kolberg, Alexander Nouak, Kiran Raja, Raghavendra Ramachandra, Christian Rathgeb, Jean Salomon, Raymond Veldhuis
Publikováno v:
IET Biometrics, Vol 11, Iss 1, Pp 79-86 (2022)
Abstract The intention of this position paper is to comment on the joint European Data Protection Supervisor (EDPS)‐Agencia Española de Protección de Datos (aepd) publication ‘14 Misunderstandings with regard to Biometric Identification and Aut
Externí odkaz:
https://doaj.org/article/78f9a79b351c40c0aea6bf478e1a3d13
Autor:
Raymond N.J. Veldhuis, Els Kindt, Christian Rathgeb, Kiran B. Raja, Georg Hasse, Adam Czajka, Raghavendra Ramachandra, Jean Salomon, Alexander Nouak, Christoph Busch, Jascha Kolberg, Pawel Drozdowski, Olaf Henniger, Farzin Deravi, Marta Gomez-Barrero
Publikováno v:
IET biometrics, 11(1), 79-86. The Institution of Engineering and Technology
IET Biometrics
IET Biometrics, Vol 11, Iss 1, Pp 79-86 (2022)
IET Biometrics
IET Biometrics, Vol 11, Iss 1, Pp 79-86 (2022)
The intention of this position paper is to comment on the joint European Data Protection Supervisor (EDPS)‐Agencia Española de Protección de Datos (aepd) publication ‘14 Misunderstandings with regard to Biometric Identification and Authenticati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2861e5cf84c20c32786d25ea61e0644b
https://doi.org/10.1049/bme2.12057
https://doi.org/10.1049/bme2.12057
Publikováno v:
2022 International Conference of the Biometrics Special Interest Group (BIOSIG).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cd590a41b1cc2e626af0acaa1ea420f
https://doi.org/10.1109/biosig55365.2022.9897037
https://doi.org/10.1109/biosig55365.2022.9897037
Autor:
Olaf Henniger
Publikováno v:
Datenschutz und Datensicherheit - DuD. 44:43-47
Dieser Artikel gibt einen Uberblick uber die neuen, erweiterbaren biometrischen Datenaustauschformate in der Normenreihe ISO/IEC 39794. Diese konnten in ein paar Jahren, nach der erforderlichen Vorbereitungszeit, fur biometrische Referenzdaten in lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67941955880408e1a169c5823384e3f9
https://doi.org/10.1007/s11623-019-1220-5
https://doi.org/10.1007/s11623-019-1220-5
Publikováno v:
BIOSIG
Face image quality assessment predicts the utility of a face image for automated face recognition. A high-quality face image can achieve good performance for the identification or verification task. Some recent face image quality assessment algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de74a2346ee7267459d1ce535a1a970e
https://doi.org/10.1109/biosig52210.2021.9548297
https://doi.org/10.1109/biosig52210.2021.9548297
Autor:
Oliver Bausinger, Christoph Busch, Olaf Henniger, Martin Aastrup Olsen, Andrew Figlarz, Timo Ruhland, Elham Tabassi, Michael Schwaiger, Gregory P. Fiumara, Christopher Schiel, Johannes Merkle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f1f6854d75106a35d8dbf6a88397fae
https://doi.org/10.6028/nist.ir.8382
https://doi.org/10.6028/nist.ir.8382
Publikováno v:
ICPR
In this study we analyzed longitudinal fingerprint data of 20 data subjects, acquired over a time span of up to 12 years. Using hierarchical linear modeling, we aimed to delineate mated similarity scores as a function of fingerprint quality and of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47d1d14263e25e46c1fef54ca41bdbe7
https://doi.org/10.1109/icpr48806.2021.9412948
https://doi.org/10.1109/icpr48806.2021.9412948
Autor:
Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, Christoph Busch
Publikováno v:
ACM Computing Surveys
The performance of face analysis and recognition systems depends on the quality of the acquired face data, which is influenced by numerous factors. Automatically assessing the quality of face data in terms of biometric utility can thus be useful to d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ebf885173c5dd341e596226fd63bb45
Autor:
Benoit Berthe, Naser Damer, Yaza Wainakh, Andreas Braun, Christian Croll, Arjan Kuijper, Olaf Henniger
Publikováno v:
ICPR
Face recognition technology is spreading into a wide range of applications. This is mainly driven by social acceptance and the performance boost achieved by the deep learning-based solutions in the recent years. Perspective distortion is an understud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49ac1a833b6e159b9937d116b0531af3
https://doi.org/10.1109/icpr.2018.8545037
https://doi.org/10.1109/icpr.2018.8545037