Algorithm of face anti-spoofing based on pseudo-negative features generation [PDF]
Frontiers in NeuroscienceIntroductionDespite advancements in face anti-spoofing technology, attackers continue to pose challenges with their evolving deceptive methods. This is primarily due to the increased complexity of their attacks, coupled with a diversity in presentation ...
Yukun Ma +4 more
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Multi-Domain Feature Alignment for Face Anti-Spoofing [PDF]
Sensors, 2023 Face anti-spoofing is critical for enhancing the robustness of face recognition systems against presentation attacks. Existing methods predominantly rely on binary classification tasks.
Shizhe Zhang, Wenhui Nie
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Evaluating and Enhancing Face Anti-Spoofing Algorithms for Light Makeup: A General Detection Approach [PDF]
SensorsMakeup modifies facial textures and colors, impacting the precision of face anti-spoofing systems. Many individuals opt for light makeup in their daily lives, which generally does not hinder face identity recognition.
Zhimao Lai +4 more
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Middle-shallow feature aggregation in multimodality for face anti-spoofing [PDF]
Scientific Reports, 2023 At present, most advanced algorithms for face anti-spoofing use stacked convolutions and residual structure to obtain complex characteristics of deep networks, and then distinguish liveness and deception.
Chunyan Li +3 more
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Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise Face Anti-Spoofing by Leveraging Fourier Spectra [PDF]
Sensors, 2021 The emergence of biometric-based authentication using modern sensors on electronic devices has led to an escalated use of face recognition technologies. While these technologies may seem intriguing, they are accompanied by numerous implicit drawbacks. In
Koushik Roy +6 more
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Multimodal feature enhancement via dynamically-aware heterogeneous network for face anti-spoofing [PDF]
Scientific ReportsPresentation attacks pose a significant threat to face recognition systems, making face anti-spoofing (FAS) a critical security measure. However, many existing approaches suffer from inadequate exploitation of physical modality cues and rely on overly ...
Yutao Yan +3 more
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Analyzing the effect of reasoning-based supervision on face anti-spoofing [PDF]
Scientific ReportsFace 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 +6 more
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A high-performance adaptive fusion network for face anti-spoofing detection [PDF]
Scientific ReportsIn view of the limitations of current cross-domain face liveness detection models in generalization ability and deep feature representation, this paper proposes a high-performance adaptive fusion network for face anti-spoofing detection.
Hui Qi +6 more
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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
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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
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