16 citations · 39 across the 10 of their papers we have counts for
10 papers
Detection of T-shirt Presentation Attacks in Face Recognition Systems
Mathias Ibsen, Loris Tim Ide, Christian Rathgeb +1
Face recognition systems are often used for biometric authentication. Nevertheless, it is known that without any protective measures, face recognition systems are vulnerable to pre…
Testing the Performance of Face Recognition for People with Down Syndrome
Christian Rathgeb, Mathias Ibsen, Denise Hartmann +2
The fairness of biometric systems, in particular facial recognition, is often analysed for larger demographic groups, e.g. female vs. male or black vs. white. In contrast to this,…
TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks
Mathias Ibsen, Lázaro J. González-Soler, Christian Rathgeb +1
Face recognition systems are widely deployed in high-security applications such as for biometric verification at border controls. Despite their high accuracy on pristine data, it i…
Child Face Recognition at Scale: Synthetic Data Generation and Performance Benchmark
Magnus Falkenberg, Anders Bensen Ottsen, Mathias Ibsen +1
We address the need for a large-scale database of children's faces by using generative adversarial networks (GANs) and face age progression (FAP) models to synthesize a realistic d…
Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection
M. Ibsen, C. Rathgeb, F. Brechtel +5
Face recognition systems are widely deployed for biometric authentication. Despite this, it is well-known that, without any safeguards, face recognition systems are highly vulnerab…
Fun Selfie Filters in Face Recognition: Impact Assessment and Removal
Cristian Botezatu, Mathias Ibsen, Christian Rathgeb +1
This work investigates the impact of fun selfie filters, which are frequently used to modify selfies, on face recognition systems. Based on a qualitative assessment and classificat…
Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition
Mathias Ibsen, Christian Rathgeb, Pawel Drozdowski +1
Systems that analyse faces have seen significant improvements in recent years and are today used in numerous application scenarios. However, these systems have been found to be neg…
Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions
Christian Rathgeb, Robert Nichols, Mathias Ibsen +2
We investigate the potential of fusing human examiner decisions for the task of digital face manipulation detection. To this end, various decision fusion methods are proposed incor…
Differential Anomaly Detection for Facial Images
Mathias Ibsen, Lázaro J. González-Soler, Christian Rathgeb +3
Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals.…
Impact of Facial Tattoos and Paintings on Face Recognition Systems
Mathias Ibsen, Christian Rathgeb, Thomas Fink +2
In the past years, face recognition technologies have shown impressive recognition performance, mainly due to recent developments in deep convolutional neural networks. Notwithstan…