Accurate face recognition systems are increasingly important in sensitiv...
Traditional minutiae-based fingerprint representations consist of a
vari...
Face recognition systems have significantly advanced in recent years, dr...
We address the need for a large-scale database of children's faces by us...
Quality assessment algorithms can be used to estimate the utility of a
b...
Today, deep learning represents the most popular and successful form of
...
Evaluating the quality of facial images is essential for operating face
...
In this paper, we benchmark several cancelable biometrics (CB) schemes o...
Lossy face image compression can degrade the image quality and the utili...
The fuzzy vault scheme has been established as cryptographic primitive
s...
The goal of the project "Facial Metrics for EES" is to develop, implemen...
Deep neural networks have become prevalent in human analysis, boosting t...
Privacy-enhancing technologies are technologies that implement fundament...
This work investigates the impact of fun selfie filters, which are frequ...
Systems that analyse faces have seen significant improvements in recent ...
We investigate the potential of fusing human examiner decisions for the ...
In recent years, increasing deployment of face recognition technology in...
Doppelgängers (or lookalikes) usually yield an increased probability of
...
We present the first method for synthetic generation of contactless
fing...
Due to their convenience and high accuracy, face recognition systems are...
Computationally efficient, accurate, and privacy-preserving data storage...
Recently, different researchers have found that the gallery composition ...
Algorithmic decision systems have frequently been labelled as "biased",
...
In the past years, face recognition technologies have shown impressive
r...
The growing scope, scale, and number of biometric deployments around the...
In the past years, numerous methods have been introduced to reliably det...
This work presents an automated touchless fingerprint recognition system...
Since early 2020 the COVID-19 pandemic has had a considerable impact on ...
Deep convolutional neural networks have achieved remarkable improvements...
The performance of face analysis and recognition systems depends on the
...
Face recognition can benefit from the utilization of depth data captured...
Morphing attacks have posed a severe threat to Face Recognition System (...
Facial cosmetics have the ability to substantially alter the facial
appe...
The vulnerability of facial recognition systems to face morphing attacks...
In this paper, we provide a comprehensive analysis of periocular-based
s...