Deep learning techniques for biometric security: A systematic review of presentation attack detection systems

K Shaheed, P Szczuko, M Kumar, I Qureshi… - … Applications of Artificial …, 2024 - Elsevier
Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …

A review on recent advances of AI-integrated microfluidics for analytical and bioanalytical applications

E Asadian, F Bahramian, S Siavashy… - TrAC Trends in …, 2024 - Elsevier
In today's biomedical research, the pursuit of diagnostic tools boasting maximum precision
and accuracy while minimizing sample volume and pre-treatment requirements, has …

[HTML][HTML] FRCSyn-onGoing: Benchmarking and comprehensive evaluation of real and synthetic data to improve face recognition systems

P Melzi, R Tolosana, R Vera-Rodriguez, M Kim… - Information …, 2024 - Elsevier
This article presents FRCSyn-onGoing, an ongoing challenge for face recognition where
researchers can easily benchmark their systems against the state of the art in an open …

Identity, crimes, and law enforcement in the metaverse

HX Qin, Y Wang, P Hui - Humanities and Social Sciences …, 2025 - nature.com
The recent Metaverse technology boom in major areas of the public's life makes the safety of
users a pressing concern. Though the nature of the Metaverse as a geographically …

Frcsyn challenge at wacv 2024: Face recognition challenge in the era of synthetic data

P Melzi, R Tolosana… - Proceedings of the …, 2024 - openaccess.thecvf.com
Despite the widespread adoption of face recognition technology around the world, and its
remarkable performance on current benchmarks, there are still several challenges that must …

Infosphere, datafication, and decision-making processes in the AI era

A Lavazza, M Farina - Topoi, 2023 - Springer
A recent interpretation of artificial intelligence (AI)(Floridi,) suggests that the implementation
of AI demands the investigation of the binding conditions that make it possible to build and …

[HTML][HTML] A study of deep learning-based face recognition models for sibling identification

R Goel, I Mehmood, H Ugail - Sensors, 2021 - mdpi.com
Accurate identification of siblings through face recognition is a challenging task. This is
predominantly because of the high degree of similarities among the faces of siblings. In this …

Racial bias within face recognition: A survey

S Yucer, F Tektas, N Al Moubayed… - ACM Computing Surveys, 2024 - dl.acm.org
Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …

[HTML][HTML] Multimodal Real-Time patient emotion recognition system using facial expressions and brain EEG signals based on Machine learning and Log-Sync methods

AM Mutawa, A Hassouneh - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract Human Machine Interface (HMI) depends on emotion detection, especially for
hospitalized patients. The emergence of the fourth industrial revolution (4IR) has heightened …

A Comprehensive Review of Face Recognition Techniques, Trends and Challenges

HL Gururaj, BC Soundarya, S Priya, J Shreyas… - IEEE …, 2024 - ieeexplore.ieee.org
Face Recognition (FR) is the technology used to identify and verify individuals based on
their facial features. In recent decades, FR plays a crucial role in various sectors, including …