212 citations · 436 across the 99 of their papers we have counts for
14 papers · 1 filter
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images
Philipp Terhörst, Daniel Fährmann, Jan Niklas Kolf +3
Soft-biometrics play an important role in face biometrics and related fields since these might lead to biased performances, threatens the user's privacy, or are valuable for commer…
Micro Stripes Analyses for Iris Presentation Attack Detection
Meiling Fang, Naser Damer, Florian Kirchbuchner +1
Iris recognition systems are vulnerable to the presentation attacks, such as textured contact lenses or printed images. In this paper, we propose a lightweight framework to detect…
On Benchmarking Iris Recognition within a Head-mounted Display for AR/VR Application
Fadi Boutros, Naser Damer, Kiran Raja +3
Augmented and virtual reality is being deployed in different fields of applications. Such applications might involve accessing or processing critical and sensitive information, whi…
Beyond Identity: What Information Is Stored in Biometric Face Templates?
Philipp Terhörst, Daniel Fährmann, Naser Damer +2
Deeply-learned face representations enable the success of current face recognition systems. Despite the ability of these representations to encode the identity of an individual, re…
MIPGAN -- Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN
Haoyu Zhang, Sushma Venkatesh, Raghavendra Ramachandra +3
Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Mor…
Iris Liveness Detection Competition (LivDet-Iris) -- The 2020 Edition
Priyanka Das, Joseph McGrath, Zhaoyuan Fang +20
Launched in 2013, LivDet-Iris is an international competition series open to academia and industry with the aim to assess and report advances in iris Presentation Attack Detection…
The Effect of Wearing a Mask on Face Recognition Performance: an Exploratory Study
Naser Damer, Jonas Henry Grebe, Cong Chen +3
Face recognition has become essential in our daily lives as a convenient and contactless method of accurate identity verification. Process such as identity verification at automati…
Can GAN Generated Morphs Threaten Face Recognition Systems Equally as Landmark Based Morphs? -- Vulnerability and Detection
Sushma Venkatesh, Haoyu Zhang, Raghavendra Ramachandra +3
The primary objective of face morphing is to combine face images of different data subjects (e.g. a malicious actor and an accomplice) to generate a face image that can be equally…
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
P. Drozdowski, C. Rathgeb, A. Dantcheva +2
Systems incorporating biometric technologies have become ubiquitous in personal, commercial, and governmental identity management applications. Both cooperative (e.g. access contro…
Face Quality Estimation and Its Correlation to Demographic and Non-Demographic Bias in Face Recognition
Philipp Terhörst, Jan Niklas Kolf, Naser Damer +2
Face quality assessment aims at estimating the utility of a face image for the purpose of recognition. It is a key factor to achieve high face recognition performances. Currently,…
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
Philipp Terhörst, Jan Niklas Kolf, Naser Damer +2
Face image quality is an important factor to enable high performance face recognition systems. Face quality assessment aims at estimating the suitability of a face image for recogn…
Demographic Bias in Presentation Attack Detection of Iris Recognition Systems
Meiling Fang, Naser Damer, Florian Kirchbuchner +1
With the widespread use of biometric systems, the demographic bias problem raises more attention. Although many studies addressed bias issues in biometric verification, there are n…
Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition
Philipp Terhörst, Marco Huber, Naser Damer +2
Current research on soft-biometrics showed that privacy-sensitive information can be deduced from biometric templates of an individual. Since for many applications, these templates…
Post-Comparison Mitigation of Demographic Bias in Face Recognition Using Fair Score Normalization
Philipp Terhörst, Jan Niklas Kolf, Naser Damer +2
Current face recognition systems achieve high progress on several benchmark tests. Despite this progress, recent works showed that these systems are strongly biased against demogra…