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   Articles with "face anti" as a keyword



CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation

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recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3242654

Abstract: Face anti-spoofing (FAS) is a technology that protects face recognition systems from presentation attacks. The current challenge faced by FAS studies is the difficulty in creating a generalized light variation model. This is because face… read more here.

Keywords: cloudnet; anti spoofing; model; face anti ... See more keywords

Dual-Path Adaptive Channel Attention Network Based on Feature Constraints for Face Anti-Spoofing

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3534906

Abstract: Interference 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. To address these limitations, we propose an innovative face anti-spoofing framework. Within… read more here.

Keywords: face anti; adaptive channel; dual path; channel attention ... See more keywords

Learning Multi-Granularity Temporal Characteristics for Face Anti-Spoofing

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recommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2022.3158062

Abstract: Face anti-spoofing (FAS) is essential for securing face recognition systems. Despite the decent performance, few existing works fully leverage temporal information. This would inevitably lead to inferior performance because real and fake faces tend to… read more here.

Keywords: multi granularity; face anti; granularity temporal; temporal characteristics ... See more keywords

Fine-Grained Textual Guidance for Generalized Multi-Modal Face Anti-Spoofing

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recommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2025.3613977

Abstract: Multi-modal face anti-spoofing (FAS) is crucial for defending against presentation attacks in complex attack types and high-security scenarios. However, existing multi-modal FAS methods encounter two main limitations: 1) Most methods rely on classification supervision, which… read more here.

Keywords: face anti; ftg fas; modal face; multi ... See more keywords

Spoof Trace Disentanglement for Generic Face Anti-Spoofing

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recommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2022.3176387

Abstract: Prior studies show that the key to face anti-spoofing lies in the subtle image patterns, termed “spoof trace,” e.g., color distortion, 3D mask edge, and Moiré pattern. Spoof detection rooted on those spoof traces can… read more here.

Keywords: spoof; spoof traces; spoof trace; trace ... See more keywords

Face anti-spoofing with local difference network and binary facial mask supervision

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recommendations! Published in 2022 at "Journal of Electronic Imaging"

DOI: 10.1117/1.jei.31.1.013007

Abstract: Abstract. Face anti-spoofing (FAS) is crucial for safe and reliable biometric systems. In recent years, deep neural networks have been proven to be very effective for FAS as compared with classical approaches. However, deep learning-based… read more here.

Keywords: difference network; face anti; anti spoofing; binary facial ... See more keywords

Lightweight face anti-spoofing method based on cross-fused multi-modal features

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recommendations! Published in 2024 at "Journal of Electronic Imaging"

DOI: 10.1117/1.jei.33.2.023033

Abstract: Abstract. With the improvement in the quality of spoofed faces, there are significant challenges in terms of the security of face recognition systems. At present, methods based on multi-modality can further protect systems from spoofing.… read more here.

Keywords: face anti; spoofing method; anti spoofing; face ... See more keywords

Performance Comparison of Classification Algorithms for Face Anti-Spoofing using Codebook Features

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recommendations! Published in 2025 at "International Journal of Computing"

DOI: 10.47839/ijc.24.3.4190

Abstract: Face recognition systems are prone to break by using face images and video or mask methods, termed face spoofing attacks. The 2D attacks include fake photo attacks, warped photos, video display attacks, and 3D attacks… read more here.

Keywords: classification; face anti; face; error rate ... See more keywords