Deep learning techniques for biometric security: A systematic review of presentation attack detection systems
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 …
used to enhance security in various devices. In the past decade, significant progress has …
Preliminary Experiments of a Real-World Authentication Mechanism Based on Facial Recognition and Fully Homomorphic Encryption
G Crihan, L Dumitriu, MV Crăciun - Applied Sciences, 2024 - mdpi.com
In the current context in which user authentication is the first line of defense against
emerging attacks and can be considered a defining element of any security infrastructure …
emerging attacks and can be considered a defining element of any security infrastructure …
Advanced Techniques for Biometric Authentication: Leveraging Deep Learning and Explainable AI
Liveness face detection is essential for modern biometric systems, ensuring that input data is
genuine and not derived from a false image or video. Liveness face detection in today's …
genuine and not derived from a false image or video. Liveness face detection in today's …
Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM)
M Iqtait, J Ababneh, M Rasmi, A Abu-Jassar… - IEEE …, 2024 - ieeexplore.ieee.org
Face landmarking is a primary goal of many projects that lead to face-preparing activities,
like biometric recognition and mental state comprehension. Despite the inherent diversity of …
like biometric recognition and mental state comprehension. Despite the inherent diversity of …
[HTML][HTML] Enhancing Semantic Segmentation for Autonomous Vehicle Scene Understanding in Indian Context Using Modified CANet Model
Recent advancements in artificial intelligence (AI) have increased interest in intelligent
transportation systems, particularly autonomous vehicles. Safe navigation in traffic-heavy …
transportation systems, particularly autonomous vehicles. Safe navigation in traffic-heavy …
Time-Aware Face Anti-Spoofing with Rotation Invariant Local Binary Patterns and Deep Learning
M Finke, A Dmitrienko - arXiv preprint arXiv:2408.14829, 2024 - arxiv.org
Facial recognition systems have become an integral part of the modern world. These
methods accomplish the task of human identification in an automatic, fast, and non …
methods accomplish the task of human identification in an automatic, fast, and non …
Face Liveness Detection and Tracking in a Remote Exam Monitoring System
K Yao, T Kone, BG N'Guessan… - International Journal of …, 2023 - search.proquest.com
In the growing context of online exam surveillance to ensure academic integrity, biometric
authentication through facial recognition has become a common practice. However, the …
authentication through facial recognition has become a common practice. However, the …
Optimizing Attendance System: Integrating Liveness Detection and Deep Learning for Reliable Face Recognition
The study focuses on using vitality detection and deep learning technologies in the context
of facial recognition in an IT presence management project. The combination of deep …
of facial recognition in an IT presence management project. The combination of deep …
[PDF][PDF] Facial Liveness and Anti-Spoofing Detection using Vision Transformers
In recent years, the proliferation of facial recognition systems and their integration into
various domains has revolutionised how we interact with technology. However, this rapid …
various domains has revolutionised how we interact with technology. However, this rapid …
Robust and Reliable Liveness Detection Models for Facial Recognition Systems
Facial Liveness Detection is instrumental in combating fraudulent practices and identity theft
by differentiating genuine faces from forgeries. Given that facial recognition is now an …
by differentiating genuine faces from forgeries. Given that facial recognition is now an …