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20182023
most citedGeneral Framework to Evaluate Unlinkability in Biometric Template Protection Systems

241 citations · 899 across the 75 of their papers we have counts for

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Showing 2023 · cs.CVShow all

15 papers · 2 filters

cs.CV2023★ 2 cited

EGAIN: Extended GAn INversion

Wassim Kabbani, Marcel Grimmer, Christoph Busch

Generative Adversarial Networks (GANs) have witnessed significant advances in recent years, generating increasingly higher quality images, which are non-distinguishable from real o…

cs.CV2023★ 241 cited

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/…

cs.CV2023★ 8 cited

Log-Likelihood Score Level Fusion for Improved Cross-Sensor Smartphone Periocular Recognition

Fernando Alonso-Fernandez, Kiran B. Raja, Christoph Busch +1

The proliferation of cameras and personal devices results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop whe…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023★ 11 cited

Towards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection

Roman Kessler, Kiran Raja, Juan Tapia +1

Face Morphing Attacks pose a threat to the security of identity documents, especially with respect to a subsequent access control process, because it enables both individuals invol…

cs.CV2023

Face Feature Visualisation of Single Morphing Attack Detection

Juan Tapia, Christoph Busch

This paper proposes an explainable visualisation of different face feature extraction algorithms that enable the detection of bona fide and morphing images for single morphing atta…

cs.CV2023★ 1 cited

Flickr-PAD: New Face High-Resolution Presentation Attack Detection Database

Diego Pasmino, Carlos Aravena, Juan Tapia +1

Nowadays, Presentation Attack Detection is a very active research area. Several databases are constituted in the state-of-the-art using images extracted from videos. One of the mai…

cs.CV2023

A Latent Fingerprint in the Wild Database

Xinwei Liu, Kiran Raja, Renfang Wang +9

Latent fingerprints are among the most important and widely used evidence in crime scenes, digital forensics and law enforcement worldwide. Despite the number of advancements repor…

cs.CV2023

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…

cs.CV2023★ 7 cited

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…

cs.CV2023★ 1 cited

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,…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2023

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…