Results 11 to 20 of about 126,175 (202)
The rise in popularity of face anti-spoofing is attributed to its crucial role in safeguarding face recognition systems. Perpetrators use either a photo or a video to execute a face-spoofing attack on the authentication system of an authorized user ...
Marwa Radad +4 more
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Analyzing the effect of reasoning-based supervision on face anti-spoofing [PDF]
Face 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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Evaluating and Enhancing Face Anti-Spoofing Algorithms for Light Makeup: A General Detection Approach [PDF]
Makeup 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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Deep Representations for Iris, Face, and Fingerprint Spoofing Detection [PDF]
Pre-print of article that will appear in the IEEE Transactions on Information Forenseics and Security (T.IFS), Special Issue on Biometric Spoofing and Countermeasures, vol 10, n.
Alexandre Falcao +2 more
exaly +3 more sources
Face Spoofing Detection with Stacking Ensembles in Work Time Registration System
This paper introduces a passive face-authenticity detection system, designed for integration into an employee work time registration platform. The system is implemented as a stacking ensemble of multiple models.
Rafał Klinowski, Mirosław Kordos
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An enhanced light weight face liveness detection method using deep convolutional neural network [PDF]
Authentication plays a pivotal role in contemporary security frameworks, with various methods utilized including passwords, hardware tokens, and biometrics.
Swapnil R. Shinde +3 more
doaj +2 more sources
Out of Domain Face Anti-spoofing: A Survey [PDF]
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 Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
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
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
doaj +1 more source
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing threats.
Smita Khairnar +3 more
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