Ulrich Scherhag
Orcid: 0000-0002-6280-048XAffiliations:
- Darmstadt University of Applied Sciences, Germany
According to our database1,
Ulrich Scherhag
authored at least 23 papers
between 2015 and 2022.
Collaborative distances:
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Bibliography
2022
Proceedings of the Handbook of Digital Face Manipulation and Detection, 2022
2021
IEEE Trans. Inf. Forensics Secur., 2021
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
2020
IEEE Trans. Inf. Forensics Secur., 2020
Face morph detection for unknown morphing algorithms and image sources: a multi-scale block local binary pattern fusion approach.
IET Biom., 2020
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020
2019
IEEE Trans. Biom. Behav. Identity Sci., 2019
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019
2018
Predicting the vulnerability of biometric systems to attacks based on morphed biometric information.
IET Biom., 2018
Performance variation of morphed face image detection algorithms across different datasets.
Proceedings of the 2018 International Workshop on Biometrics and Forensics, 2018
Proceedings of the 2018 International Workshop on Biometrics and Forensics, 2018
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
Proceedings of the 2018 2nd International Conference on Biometric Engineering and Applications, 2018
Proceedings of the 13th IAPR International Workshop on Document Analysis Systems, 2018
Proceedings of the 9th IEEE International Conference on Biometrics Theory, 2018
2017
Proceedings of the 5th International Workshop on Biometrics and Forensics, 2017
Proceedings of the 5th International Workshop on Biometrics and Forensics, 2017
Biometric Systems under Morphing Attacks: Assessment of Morphing Techniques and Vulnerability Reporting.
Proceedings of the International Conference of the Biometrics Special Interest Group, 2017
2016
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016
2015
Binarization of spectral histogram models: An application to efficient biometric identification.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015