Results 91 to 100 of about 2,994,964 (187)

Analyzing the effect of reasoning-based supervision on face anti-spoofing

Scientific Reports
Face anti-spoofing (FAS) has become a crucial component in securing face recognition systems against presentation attacks, such as printed photos, replay videos, and 3D masks. While recent advances have improved generalization to unseen spoofing attempts,
Jimin Min, Kyungtae Lim, Minjun Kim, Dongsu Kim, Seoyeon Oh, Eunkyung Kim, Haneol Jang   +6 more
doaj   +1 more source

Token-Wise Asymmetric Contrastive Learning in Countering Unknown Attacks for Face Anti-Spoofing

IEEE Access
Face anti-spoofing (FAS) techniques are crucial for safeguarding face recognition systems against an ever-evolving landscape of spoofing attacks. While existing methods have made strides in detecting known attacks, robustness against unknown, potentially
Jimin Min, Yunho Jeon, Yonghyun Jeong, Youngjoon Yoo, Haneol Jang   +4 more
doaj   +1 more source

Advanced Techniques for Biometric Authentication: Leveraging Deep Learning and Explainable AI

IEEE Access
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 biometric systems will ensure that input comes from a real, live
Smita Khairnar, Shilpa Gite, Kashish Mahajan, Biswajeet Pradhan, Abdullah Alamri, Sudeep D. Thepade   +5 more
doaj   +1 more source

A Novel High-Performance Face Anti-Spoofing Detection Method

IEEE Access
Accurate face recognition technology is of great significance for face anti-counterfeiting. Due to illumination, posture, angle, and other reasons, the existing face liveness detection technology is difficult to adapt the environmental changes, resulting
Hui Qi, Rui Han, Ying Shi, Xiaobo Qi
doaj   +1 more source

Multimodal Face Data Sets—A Survey of Technologies, Applications, and Contents

IEEE Access
Introduction. Biometric verification for controlling access to digital devices has become ubiquitous for its ease-of-use but often relies on notoriously data-hungry supervised machine learning.
Kamela Al-Mannai, Khaled Al-Thelaya, Jens Schneider, Spiridon Bakiras   +3 more
doaj   +1 more source

Mitigating shoulder spoofing vulnerabilities in mobile payment systems: a security framework. [PDF]

Sci Rep
Alqahtani O, Dileep MR, Ghouse M, Vidya Sagar SD, Rallapalli S, Danti A.   +5 more
europepmc   +1 more source

Secure facial biometric authentication in smart cities using multimodal methodology. [PDF]

Sci Rep
Sureshkumar A, Sathyamoorthy M, Dhanaraj RK, Aanjanadevi S, Palanisamy V.   +4 more
europepmc   +1 more source

Tactical-Grade Wearables and Authentication Biometrics. [PDF]

Sensors (Basel)
Agiomavritis F, Karanasiou I.
europepmc   +1 more source

Optimization of Neural Network Models of Computer Vision for Biometric Identification on Edge IoT Devices. [PDF]

J Imaging
Belgibayev B, Mansurova M, Ablay G, Sarsembayeva T, Armankyzy Z.   +4 more
europepmc   +1 more source

A hybrid deep learning and residual connection-based architecture for intrusion detection in autonomous vehicles. [PDF]

PLoS One
Kibriya H, Siddiqa A, Alahmari S, Khan WZ, Altamimi SN, Khan AUR.   +5 more
europepmc   +1 more source