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Rudolf Haraksim
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2020 – today
- 2023
- [j6]Tim Oblak
, Rudolf Haraksim
Probabilistic Fingermark Quality Assessment with Quality Region Localisation. Sensors 23(8): 4006 (2023) - 2022
- [j5]Tim Oblak
Fingermark quality assessment framework with classic and deep learning ensemble models. Knowl. Based Syst. 250: 109148 (2022) - 2021
- [j4]Pasquale Ferrara
Performance Evaluation of Source Camera Attribution by Using Likelihood Ratio Methods. J. Imaging 7(7): 116 (2021) - [c6]Tim Oblak, Rudolf Haraksim, Laurent Beslay, Peter Peer:
Fingermark Quality Assessment: An Open-Source Toolbox. BIOSIG 2021: 159-172
2010 – 2019
- 2019
- [j3]Rudolf Haraksim, Javier Galbally
Fingerprint growth model for mitigating the ageing effect on children's fingerprints matching. Pattern Recognit. 88: 614-628 (2019) - [j2]Javier Galbally
A Study of Age and Ageing in Fingerprint Biometrics. IEEE Trans. Inf. Forensics Secur. 14(5): 1351-1365 (2019) - [c5]Javier Galbally
Fingerprint Quality: Mapping NFIQ1 Classes and NFIQ2 Values. ICB 2019: 1-8 - [c4]Javier Hernandez-Ortega, Javier Galbally
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning. ICB 2019: 1-8 - [i1]Javier Hernandez-Ortega, Javier Galbally, Julian Fiérrez, Rudolf Haraksim, Laurent Beslay:
FaceQnet: Quality Assessment for Face Recognition based on Deep Learning. CoRR abs/1904.01740 (2019) - 2018
- [c3]Javier Galbally
Fingerprint Quality: a Lifetime Story. BIOSIG 2018: 1-5 - 2017
- [j1]Rudolf Haraksim, Daniel Ramos, Didier Meuwly
Validation of likelihood ratio methods for forensic evidence evaluation handling multimodal score distributions. IET Biom. 6(2): 61-69 (2017) - [p1]Andrzej Drygajlo, Rudolf Haraksim:
Biometric Evidence in Forensic Automatic Speaker Recognition. Handbook of Biometrics for Forensic Science 2017: 221-239 - 2016
- [c2]Rudolf Haraksim, Alexandre Anthonioz
Altered fingerprint detection - algorithm performance evaluation. IWBF 2016: 1-6 - 2013
- [c1]Rudolf Haraksim, Didier Meuwly, Gina Doekhie, Peter Vergeer, Marjan Sjerps:
Assignment of the evidential value of a fingermark general pattern using a Bayesian Network. BIOSIG 2013: 99-110
Coauthor Index
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