241 citations · 593 across the 45 of their papers we have counts for
49 papers
AMB-FHE: Adaptive Multi-biometric Fusion with Fully Homomorphic Encryption
Florian Bayer, Christian Rathgeb
Biometric systems strive to balance security and usability. The use of multi-biometric systems combining multiple biometric modalities is usually recommended for high-security appl…
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…
Reversing Deep Face Embeddings with Probable Privacy Protection
Daile Osorio-Roig, Paul A. Gerlitz, Christian Rathgeb +1
Generally, privacy-enhancing face recognition systems are designed to offer permanent protection of face embeddings. Recently, so-called soft-biometric privacy-enhancement approach…
Optimizing Key-Selection for Face-based One-Time Biometrics via Morphing
Daile Osorio-Roig, Mahdi Ghafourian, Christian Rathgeb +3
Nowadays, facial recognition systems are still vulnerable to adversarial attacks. These attacks vary from simple perturbations of the input image to modifying the parameters of the…
NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality
Marcel Grimmer, Christian Rathgeb, Raymond Veldhuis +1
Accurate face recognition systems are increasingly important in sensitive applications like border control or migration management. Therefore, it becomes crucial to quantify the qu…
Benchmarking fixed-length Fingerprint Representations across different Embedding Sizes and Sensor Types
Tim Rohwedder, Daile Osorio-Roig, Christian Rathgeb +1
Traditional minutiae-based fingerprint representations consist of a variable-length set of minutiae. This necessitates a more complex comparison causing the drawback of high comput…
GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations
Pietro Melzi, Christian Rathgeb, Ruben Tolosana +4
Face recognition systems have significantly advanced in recent years, driven by the availability of large-scale datasets. However, several issues have recently came up, including p…
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…
MCLFIQ: Mobile Contactless Fingerprint Image Quality
Jannis Priesnitz, Axel Weißenfeld, Laurenz Ruzicka +4
We propose MCLFIQ: Mobile Contactless Fingerprint Image Quality, the first quality assessment algorithm for mobile contactless fingerprint samples. To this end, we re-trained the N…
Deep Learning in the Field of Biometric Template Protection: An Overview
Christian Rathgeb, Jascha Kolberg, Andreas Uhl +1
Today, deep learning represents the most popular and successful form of machine learning. Deep learning has revolutionised the field of pattern recognition, including biometric rec…
Considerations on the Evaluation of Biometric Quality Assessment Algorithms
Torsten Schlett, Christian Rathgeb, Juan Tapia +1
Quality assessment algorithms can be used to estimate the utility of a biometric sample for the purpose of biometric recognition. "Error versus Discard Characteristic" (EDC) plots,…
Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality Assessment
Marcel Grimmer, Christian Rathgeb, Christoph Busch
Evaluating the quality of facial images is essential for operating face recognition systems with sufficient accuracy. The recent advances in face quality standardisation (ISO/IEC C…
Benchmarking of Cancelable Biometrics for Deep Templates
Hatef Otroshi Shahreza, Pietro Melzi, Dailé Osorio-Roig +5
In this paper, we benchmark several cancelable biometrics (CB) schemes on different biometric characteristics. We consider BioHashing, Multi-Layer Perceptron (MLP) Hashing, Bloom F…
Effect of Lossy Compression Algorithms on Face Image Quality and Recognition
Torsten Schlett, Sebastian Schachner, Christian Rathgeb +2
Lossy face image compression can degrade the image quality and the utility for the purpose of face recognition. This work investigates the effect of lossy image compression on a st…
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…
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…
Synthetic Data in Human Analysis: A Survey
Indu Joshi, Marcel Grimmer, Christian Rathgeb +3
Deep neural networks have become prevalent in human analysis, boosting the performance of applications, such as biometric recognition, action recognition, as well as person re-iden…
An Overview of Privacy-enhancing Technologies in Biometric Recognition
Pietro Melzi, Christian Rathgeb, Ruben Tolosana +2
Privacy-enhancing technologies are technologies that implement fundamental data protection principles. With respect to biometric recognition, different types of privacy-enhancing t…