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 Cascade Face Spoofing Detector Based on Face Anti-Spoofing R-CNN and Improved Retinex LBP
IEEE Access, 2019 In consideration of secure and convenient, face gains increasing attention in variety of fields during the past decades. Since human face is most accessible from our daily life and preserves the richest information, face based biometric systems are ...
Haonan Chen +3 more
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Directional Difference Convolution and Its Application on Face Anti-Spoofing
Mathematics, 2022 In practical application, facial image recognition is vulnerable to be attacked by photos, videos, etc., while some currently used artificial feature extractors in machine learning, such as activity detection, texture descriptors, and distortion ...
Mingye Yang +3 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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