Results 91 to 100 of about 7,700 (189)

Domain Generalization and Domain Adaptation Approaches for Face Anti-Spoofing: A Survey

IEEE Access
Face Anti-Spoofing (FAS), also referred to as Face Liveness, has emerged as a rapidly evolving field of research in Computer Vision. Closely tied to Face Recognition, its primary objective is to authenticate an identity by verifying its authenticity ...
Hanry Ham, Ari Saptawijaya, Aniati Murni Arymurthy   +2 more
doaj   +1 more source

Pengembangan Sistem Anti-Spoofing Berbasis Face Recognition Menggunakan Arsitektur YOLOv8n

Journal of Applied Computer Science and Technology
Face spoofing poses a major threat to facial recognition–based authentication systems, especially in web-based environments that require lightweight and real-time verification. This study develops a real-time anti-spoofing system that integrates YOLOv8n
Carmelita Angeline Tanujaya, Nur Fajri Azhar, Bowo Nugroho   +2 more
doaj   +1 more source

UCDCN: a nested architecture based on central difference convolution for face anti-spoofing

Complex & Intelligent Systems
The significance of facial anti-spoofing algorithms in enhancing the security of facial recognition systems cannot be overstated. Current approaches aim to compensate for the model’s shortcomings in capturing spatial information by leveraging spatio ...
Jing Zhang, Quanhao Guo, Xiangzhou Wang, Ruqian Hao, Xiaohui Du, Siying Tao, Juanxiu Liu, Lin Liu   +7 more
doaj   +1 more source

Face Anti-Spoofing Based on Deep Learning: A Comprehensive Survey

Applied Sciences
Face recognition has achieved tremendous success in both its theory and technology. However, with increasingly realistic attacks, such as print photos, replay videos, and 3D masks, as well as new attack methods like AI-generated faces or videos, face ...
Huifen Xing, Siok Yee Tan, Faizan Qamar, Yuqing Jiao   +3 more
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

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

FaceCloseup: Enhancing Mobile Facial Authentication with Perspective Distortion-Based Liveness Detection

Computers
Facial authentication has gained widespread adoption as a biometric authentication method, offering a convenient alternative to traditional password-based systems, particularly on mobile devices equipped with front-facing cameras.
Yingjiu Li, Yan Li, Zilong Wang
doaj   +1 more source

BDC-DAL: A new algorithm using blueprint difference convolution and dual auxiliary supervision for lightweight face anti-spoofing(BDC-DAL：基于蓝图差分卷积和双重辅助监督的轻量化人脸活体检测算法)

Zhejiang Daxue xuebao. Lixue ban
Face anti-spoofing is an integral part of securing face recognition systems. Most current face anti-spoofing methods employ deep convolutional neural networks, and although these systems can provide excellent detection performance, they often involve ...
叶继华(YE Jihua), 梁芳昕(LIANG Fangxin), 王超(WANG Chao), 肖顺杰(XIAO Shunjie), 宗义(ZONG Yi), 江爱文(JIANG Aiwen)   +5 more
doaj   +1 more source

Anti-spoofing, Face

, 2014
Wagner, Michael, Chetty, Giriji
openaire   +2 more sources

Face Anti-Spoofing Based on Adaptive Channel Enhancement and Intra-Class Constraint. [PDF]

J Imaging
Li Y, Sun W, Li Z, Guo X.
europepmc   +1 more source