241 citations · 254 across the 20 of their papers we have counts for
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Deep Learning-based Compression Detection for explainable Face Image Quality Assessment
Laurin Jonientz, Johannes Merkle, Christian Rathgeb +2
The assessment of face image quality is crucial to ensure reliable face recognition. In order to provide data subjects and operators with explainable and actionable feedback regard…
Fairness measures for biometric quality assessment
André Dörsch, Torsten Schlett, Peter Munch +2
Quality assessment algorithms measure the quality of a captured biometric sample. Since the sample quality strongly affects the recognition performance of a biometric system, it is…
Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
Torsten Schlett, Christian Rathgeb, Juan Tapia +1
Various face image datasets intended for facial biometrics research were created via web-scraping, i.e. the collection of images publicly available on the internet. This work prese…
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…
General Framework to Evaluate Unlinkability in Biometric Template Protection Systems
Marta Gomez-Barrero, Javier Galbally, Christian Rathgeb +1
The wide deployment of biometric recognition systems in the last two decades has raised privacy concerns regarding the storage and use of biometric data. As a consequence, the ISO/…
Privacy-preserving Multi-biometric Indexing based on Frequent Binary Patterns
Daile Osorio-Roig, Lazaro J. Gonzalez-Soler, Christian Rathgeb +1
The development of large-scale identification systems that ensure the privacy protection of enrolled subjects represents a major challenge. Biometric deployments that provide inter…