Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Martin Aastrup Olsen"'
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
Fingerprint Entropy and Identification Capacity Estimation Based on Pixel-level Generative Modelling
Autor:
Soren Forchhammer, Martin Aastrup Olsen, Soren Sk. Christensen, Metodi P. Yankov, Mikkel Bille Stegmann
Publikováno v:
Yankov, M P, Olsen, M A, Stegmann, M B, Christensen, S S & Forchhammer, S 2020, ' Fingerprint Entropy and Identification Capacity Estimation Based on Pixel-level Generative Modelling ', IEEE Transactions on Information Forensics and Security, vol. 15, pp. 56-65 . https://doi.org/10.1109/TIFS.2019.2916406
A family of texture-based generative models for fingerprint images is proposed. The generative models are used to estimate upper bounds on the image entropy for systems with small sensor acquisition. The identification capacity of such systems is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4881867e028d9bb334c6537bb102de79
https://orbit.dtu.dk/en/publications/adad5c5f-c289-485f-b13d-5e496a1ee56e
https://orbit.dtu.dk/en/publications/adad5c5f-c289-485f-b13d-5e496a1ee56e
Autor:
Raluca Jalaboi, Dan Richter Jørgensen, Martin Holm Jensen, Martin Aastrup Olsen, Mads Eiler Hansen
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030322502
MICCAI (4)
MICCAI (4)
Modern neural networks are pushing the boundaries of medical image classification. For some tasks in dermatology, state of the art models are able to beat human experts in terms of accuracy and type I/II errors. However, in the domain of medical appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::079bf0be9441220e82e1d86fce4c8b04
https://doi.org/10.1007/978-3-030-32251-9_59
https://doi.org/10.1007/978-3-030-32251-9_59
Publikováno v:
IET Biometrics. 5:47-64
Finger image quality assessment is a crucial part of any system where a high biometric performance and user satisfaction is desired. Several algorithms measuring selected aspects of finger image quality have been proposed in the literature, yet only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24e6ceb8de523ff8d79c7f5f6b469483
https://doi.org/10.1049/iet-bmt.2014.0055
https://doi.org/10.1049/iet-bmt.2014.0055
Publikováno v:
Schellekens, D H M, Møller, M B & Olsen, M 2016, Time domain acoustic contrast control implementation of sound zones for low-frequency input signals . in Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on . IEEE, pp. 365-369, The 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, 20/03/2016 . https://doi.org/10.1109/ICASSP.2016.7471698
ICASSP
ICASSP
Sound zones are two or more regions within a listening space wherelisteners are provided with personal audio. Acoustic contrast control(ACC) is a sound zoning method that maximizes the averagesquared sound pressure in one zone constrained to constant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::473be6872deb6a8caffcad346372cf55
https://vbn.aau.dk/da/publications/9740e7f9-b4a7-40f2-8d95-2b2c382082c9
https://vbn.aau.dk/da/publications/9740e7f9-b4a7-40f2-8d95-2b2c382082c9
Publikováno v:
ISPA
Fingerprint alteration is a type of presentation attack in which the attacker strives to avoid identification, e.g. at border control or in forensic investigations. As a countermeasure, fingerprint alteration detection aims to automatically discover
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::455fb5f88978bcde498a1e2df5373212
https://doi.org/10.1109/ispa.2015.7306037
https://doi.org/10.1109/ispa.2015.7306037
Publikováno v:
BIOSIG
We work towards a system which can assist dactyloscopic examiners in assessing the quality and decision value of a fingerprint image and eventually a fingermark. However when quality assessment tasks of datyloscopic examiners are replaced by automati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5abab675274fd745763ea6d9dcb1e438
https://doi.org/10.1109/biosig.2015.7314616
https://doi.org/10.1109/biosig.2015.7314616
Publikováno v:
IWBF
Dry or wet fingers have an impact on biometric performance and the measurement of skin characteristics is important for actionable quality. We collected a ground truth fingerprint skin moisture dataset containing 6600 samples from 33 subjects using 5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68bb30a4f9b11c832d5044c67a1a79fd
https://doi.org/10.1109/iwbf.2015.7110223
https://doi.org/10.1109/iwbf.2015.7110223
Publikováno v:
SPIE Proceedings.
Singular points are important global features of fingerprints and singular point localization is a crucial step in biometric recognition. Moreover the presence and position of the core point in a captured fingerprint sample can reflect whether the fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e6652caeab301f5774471f80d10b61c
https://doi.org/10.1117/12.2050145
https://doi.org/10.1117/12.2050145
Publikováno v:
SPIE Proceedings.
Accurate prediction of fingerprint quality is of significant importance to any fingerprint-based biometric system. Ensuring high quality samples for both probe and reference can substantially improve the system's performance by lowering false non-mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db0e46403b70e732209589f906efa93
https://doi.org/10.1117/12.2050676
https://doi.org/10.1117/12.2050676