Results 11 to 20 of about 126,175 (202)

Face Anti-spoofing Detection Based on Novel Encoder Convolutional Neural Network and Texture’s Grayscale Structural Information

open access: yesInternational Journal of Computational Intelligence Systems
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
doaj   +2 more sources

Analyzing the effect of reasoning-based supervision on face anti-spoofing [PDF]

open access: yesScientific Reports
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
doaj   +2 more sources

Evaluating and Enhancing Face Anti-Spoofing Algorithms for Light Makeup: A General Detection Approach [PDF]

open access: yesSensors
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
doaj   +2 more sources

Deep Representations for Iris, Face, and Fingerprint Spoofing Detection [PDF]

open access: yesIEEE Transactions on Information Forensics and Security, 2015
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

open access: yesApplied Sciences
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
doaj   +2 more sources

An enhanced light weight face liveness detection method using deep convolutional neural network [PDF]

open access: yesMethodsX
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]

open access: yesJisuanji 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
doaj   +1 more source

Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal

open access: yesSensors, 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
doaj   +1 more source

Self-Attention and MLP Auxiliary Convolution for Face Anti-Spoofing

open access: yesIEEE 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
doaj   +1 more source

Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions

open access: yesBig Data and Cognitive Computing, 2023
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
doaj   +1 more source

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