Face recognition: Past, present and future (a review)

M Taskiran, N Kahraman, CE Erdem - Digital Signal Processing, 2020 - Elsevier
Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods

F Abdullakutty, E Elyan, P Johnston - Information fusion, 2021 - Elsevier
Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …

Client-specific anomaly detection for face presentation attack detection

S Fatemifar, SR Arashloo, M Awais, J Kittler - Pattern Recognition, 2021 - Elsevier
One-class anomaly detection approaches are particularly appealing for use in face
presentation attack detection (PAD), especially in an unseen attack scenario, where the …

[PDF][PDF] Anomaly Detection for Industrial Internet of Things Cyberattacks.

R Alanazi, A Aljuhani - Computer Systems Science & …, 2023 - cdn.techscience.cn
The evolution of the Internet of Things (IoT) has empowered modern industries with the
capability to implement large-scale IoT ecosystems, such as the Industrial Internet of Things …

Effective and robust physical-world attacks on deep learning face recognition systems

M Shen, H Yu, L Zhu, K Xu, Q Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep neural networks (DNNs) have been increasingly used in face recognition (FR)
systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples …

A survey on face presentation attack detection mechanisms: hitherto and future perspectives

D Sharma, A Selwal - Multimedia Systems, 2023 - Springer
The advances in human face recognition (FR) systems have recorded sublime success for
automatic and secured authentication in diverse domains. Although the traditional methods …

On the impact of multimodal and multisensor biometrics in smart factories

AF Abate, L Cimmino, I Cuomo… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Smart factories are fostered by integrating intelligent systems and ICT technologies. The role
they play is crucial in the spread of Industry 4.0 and the economic growth of developed …

Light field-based face presentation attack detection: reviewing, benchmarking and one step further

A Sepas-Moghaddam, F Pereira… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Vulnerability of face recognition systems to presentation attacks has attracted increasing
attention from the biometrics and forensics communities. Moreover, the recent availability of …

Unseen face presentation attack detection using sparse multiple kernel Fisher null-space

SR Arashloo - IEEE Transactions on Circuits and Systems for …, 2020 - ieeexplore.ieee.org
We address the face presentation attack detection problem in the challenging conditions of
an unseen attack scenario where the system is exposed to novel presentation attacks that …

A review of face anti-spoofing methods for face recognition systems

P Anthony, B Ay, G Aydin - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
The applicability, popularity, and usage of face recognition systems are undoubtedly
increasing due to their advantages of being very convenient, contactless, and nonintrusive …