An Anomaly Detection Approach to Face Spoofing Detection: A New Formulation and Evaluation Protocol
IEEE Access, 2017 Face spoofing detection is commonly formulated as a two-class recognition problem where relevant features of both positive (real access) and negative samples (spoofing attempts) are utilized to train the system. However, the diversity of spoofing attacks,
Shervin Rahimzadeh Arashloo +2 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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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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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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An enhanced light weight face liveness detection method using deep convolutional neural network [PDF]
MethodsXAuthentication plays a pivotal role in contemporary security frameworks, with various methods utilized including passwords, hardware tokens, and biometrics.
Swapnil R. Shinde +3 more
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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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Face Spoofing Detection using Inception-v3 on RGB Modal and Depth Modal
Jurnal Ilmu Komputer dan Informasi, 2023 Face spoofing can provide inaccurate face verification results in the face recognition system. Deep learning has been widely used to solve face spoofing problems.
Yuni Arti, Aniati Murni Arymurthy
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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
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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
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