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Face Spoofing Detection Based on Local Ternary Label Supervision in Fully Convolutional Networks

IEEE Transactions on Information Forensics and Security, 2020
Face verification systems are prone to spoofing attacks on photos, videos, and 3D masks. Face spoofing detection, i.e., face anti-spoofing, face liveness detection, or face presentation attack detection, is an important task for securing face ...
Wenyun Sun   +4 more
semanticscholar   +3 more sources

Face spoofing detection based on multi-scale color inversion dual-stream convolutional neural network

Expert systems with applications, 2023
: Currently, face recognition technology (FRT) has been applied ubiquitously. However, due to the abuse of personal face photos on social media, FRT has encountered unprecedented challenges which promote the development of face spoofing detection (also ...
Xin Shu   +4 more
semanticscholar   +1 more source

Face Spoofing Detection Using Colour Texture Analysis

IEEE Transactions on Information Forensics and Security, 2016
Z. Boulkenafet   +2 more
semanticscholar   +3 more sources

Edge and Texture Analysis for Face Spoofing Detection

2023 International Conference on Networking and Advanced Systems (ICNAS), 2023
With the increasing use of biometric technology in various applications of daily life, face spoofing detection technology plays a crucial role in securing them against fraudulent access.
Bahia Yahya-Zoubir   +2 more
semanticscholar   +1 more source

Texture, Quality, and Motion-Based Analysis for Face Spoofing Detection System: A Review

2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023
Face recognition systems' use, credibility, and implementation are rapidly increasing due to their efficient and non-intrusive advantages over other biometric systems, such as speech recognition and identification.
Neetika Gupta, Amandeep Kaur
semanticscholar   +1 more source

High-Performance Face Spoofing Detection using Feature Fusion of FaceNet and Tuned DenseNet201

Journal of Future Artificial Intelligence and Technologies
Face spoofing detection is critical for biometric security systems to prevent unauthorized access. This study proposes a deep learning-based approach integrating FaceNet and DenseNet201 to enhance face spoofing detection performance.
Leygian Reyhan Zuama   +5 more
semanticscholar   +1 more source

Face Spoofing Detection

2025 1st International Conference on Data Science and Intelligent Network Computing (ICDSINC)
With the increasing speed of digital identity verification technology, face recognition technology has primarily been applied to biometric authentication in e-learning systems, smart attendance systems, and secure access control.
Parneeta Dhaliwal   +4 more
semanticscholar   +1 more source

Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models

AAAI Conference on Artificial Intelligence
Face Anti-Spoofing (FAS) is essential for ensuring the security and reliability of facial recognition systems. Most existing FAS methods are formulated as binary classification tasks, providing confidence scores without interpretation.
Guosheng Zhang   +7 more
semanticscholar   +1 more source

Domain Generalization for Face Anti-Spoofing via Content-Aware Composite Prompt Engineering

IEEE transactions on multimedia
The challenge of Domain Generalization (DG) in Face Anti-Spoofing (FAS) is the significant interference of domain-specific signals on subtle spoofing clues.
Jiabao Guo   +7 more
semanticscholar   +1 more source

YSAF: Yolo with Spatial Attention and FFT to Detect Face Spoofing Attacks

International Conference on Applied Informatics and Communication
Besides biometrics, face authentication is quite popular on smart devices like smartphones and other electronic gadgets to verify and authenticate individuals.
Rathinaraja Jeyaraj   +4 more
semanticscholar   +1 more source

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