Results 11 to 20 of about 2,994,964 (187)
Attention-Based Two-Stream Convolutional Networks for Face Spoofing Detection
IEEE Transactions on Information Forensics and Security, 2020 Since the human face preserves the richest information for recognizing individuals, face recognition has been widely investigated and achieved great success in various applications in the past decades.
Haonan Chen +5 more
semanticscholar +3 more sources
How far did we get in face spoofing detection?
Engineering Applications of Artificial Intelligence, 2018 The growing use of control access systems based on face recognition shed light over the need for even more accurate systems to detect face spoofing attacks.
Oliveira, Luciano +3 more
core +4 more sources
Dual-Path Adaptive Channel Attention Network Based on Feature Constraints for Face Anti-Spoofing
IEEE AccessInterference factors in visible light image data, such as backgrounds and lighting, often lead to poor performance of RGB-based single-modality face anti-spoofing methods.
Nana Li +4 more
doaj +2 more sources
Overview of Anti-Spoofing Methods of Face Recognition Systems for Different Sensors and Complex Scenes [PDF]
Jisuanji gongcheng, 2021 As an important biometric recognition technology, face recognition has been widely used in daily life.Although significant progress has been made in this field, the existing face recognition systems are vulnerable to malicious attacks from illegal users ...
HUANG Yifang, WEI Dandan, WU Miao, LI Huibin, GUO Meng
doaj +1 more source
Out of Domain Face Anti-spoofing: A Survey [PDF]
Jisuanji kexue yu tansuo, 2022 Face anti-spoofing (FAS), as an important means to protect face recognition models, can ensure that the system remains secure and reliable in the face of various presentation attacks.
SHI Yichen, FENG Jun, XIAO Lixuan, HE Jingjing, HU Jingjing
doaj +1 more source
Benchmarking Joint Face Spoofing and Forgery Detection With Visual and Physiological Cues [PDF]
IEEE Transactions on Dependable and Secure Computing, 2022 Face anti-spoofing (FAS) and face forgery detection play vital roles in securing face biometric systems from presentation attacks (PAs) and vicious digital manipulation (e.g., deepfakes).
Zitong Yu +5 more
semanticscholar +1 more source
Measurement: Sensors, 2023 The use of biometric structures in our everyday lives is becoming increasingly frequent. Biometrics play a crucial role in various applications, including crime analysis, person identification, and verification.
Pavuluri Jaswanth +2 more
doaj +1 more source
Self-Attention and MLP Auxiliary Convolution for Face Anti-Spoofing
IEEE Access, 2023 Face features, as the most widely adopted and essential biometric characteristic in identity verification and recognition, play a crucial role in ensuring security.
Hanqing Gu +4 more
doaj +1 more source
Cross‐ethnicity face anti‐spoofing recognition challenge: A review
IET Biometrics, 2021 Face anti‐spoofing is critical to prevent face recognition systems from a security breach. The biometrics community has achieved impressive progress recently due to the excellent performance of deep neural networks and the availability of large datasets.
Ajian Liu +15 more
doaj +1 more source
Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
Sensors, 2022 Spoofing attacks in face recognition systems are easy because faces are always exposed. Various remote photoplethysmography-based methods to detect face spoofing have been developed. However, they are vulnerable to replay attacks.
Seung-Hyun Kim +2 more
doaj +1 more source