54 citations · 104 across the 8 of their papers we have counts for
9 papers
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…
Multi-Biometric Fuzzy Vault based on Face and Fingerprints
Christian Rathgeb, Benjamin Tams, Johannes Merkle +3
The fuzzy vault scheme has been established as cryptographic primitive suitable for privacy-preserving biometric authentication. To improve accuracy and privacy protection, biometr…
State of the Art of Quality Assessment of Facial Images
Johannes Merkle, Christian Rathgeb, Benjamin Tams +3
The goal of the project "Facial Metrics for EES" is to develop, implement and publish an open source algorithm for the quality assessment of facial images (OFIQ) for face recogniti…
Deep Face Fuzzy Vault: Implementation and Performance
Christian Rathgeb, Johannes Merkle, Johanna Scholz +2
Biometric technologies, especially face recognition, have become an essential part of identity management systems worldwide. In deployments of biometrics, secure storage of biometr…
Perfect Fingerprint Orientation Fields by Locally Adaptive Global Models
Carsten Gottschlich, Benjamin Tams, Stephan Huckemann
Fingerprint recognition is widely used for verification and identification in many commercial, governmental and forensic applications. The orientation field (OF) plays an important…
Decodability Attack against the Fuzzy Commitment Scheme with Public Feature Transforms
Benjamin Tams
The fuzzy commitment scheme is a cryptographic primitive that can be used to store biometric templates being encoded as fixed-length feature vectors protected. If multiple related…