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20192025
most citedGeneral Framework to Evaluate Unlinkability in Biometric Template Protection Systems

241 citations · 593 across the 45 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

cs.CV2021

An Attack on Facial Soft-biometric Privacy Enhancement

Dailé Osorio-Roig, Christian Rathgeb, Pawel Drozdowski +3

In the recent past, different researchers have proposed privacy-enhancing face recognition systems designed to conceal soft-biometric attributes at feature level. These works have…

cs.CV2021★ 16 cited

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.…

cs.CV2021

SynCoLFinGer: Synthetic Contactless Fingerprint Generator

Jannis Priesnitz, Christian Rathgeb, Nicolas Buchmann +1

We present the first method for synthetic generation of contactless fingerprint images, referred to as SynCoLFinGer. To this end, the constituent components of contactless fingerpr…

cs.CV2021

Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection

Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb +2

Computationally efficient, accurate, and privacy-preserving data storage and retrieval are among the key challenges faced by practical deployments of biometric identification syste…

cs.CV2021

Demographic Fairness in Face Identification: The Watchlist Imbalance Effect

Pawel Drozdowski, Christian Rathgeb, Christoph Busch

Recently, different researchers have found that the gallery composition of a face database can induce performance differentials to facial identification systems in which a probe im…

cs.CV2021★ 1 cited

Demographic Fairness in Biometric Systems: What do the Experts say?

Christian Rathgeb, Pawel Drozdowski, Naser Damer +2

Algorithmic decision systems have frequently been labelled as "biased", "racist", "sexist", or "unfair" by numerous media outlets, organisations, and researchers. There is an ongoi…

cs.CV2021★ 10 cited

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…

cs.CV2021

Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data

Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb +1

The growing scope, scale, and number of biometric deployments around the world emphasise the need for research into technologies facilitating efficient and reliable biometric ident…

cs.CV2021

Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching

Christian Rathgeb, Kevin Bernardo, Nathania E. Haryanto +1

In the past years, numerous methods have been introduced to reliably detect digital face image manipulations. Lately, the generalizability of these schemes has been questioned in p…

cs.CV2021★ 8 cited

Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspects

Jannis Priesnitz, Rolf Huesmann, Christian Rathgeb +2

This work presents an automated touchless fingerprint recognition system for smartphones. We provide a comprehensive description of the entire recognition pipeline and discuss impo…

cs.CY2021

Biometrics in the Era of COVID-19: Challenges and Opportunities

Marta Gomez-Barrero, Pawel Drozdowski, Christian Rathgeb +7

Since early 2020 the COVID-19 pandemic has had a considerable impact on many aspects of daily life. A range of different measures have been implemented worldwide to reduce the rate…

cs.CV2021

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…