A Testbed for Developing and Evaluating GNSS Signal Authentication Techniques [PDF]
, 2014 An experimental testbed has been created for developing and evaluating Global Navigation Satellite System (GNSS) signal authentication techniques.
Bhatti, Jahshan A. +3 more
core +1 more source
Face recognition-based attendance system with anti-spoofing, system alert, and email automation
Радіоелектронні і комп'ютерні системи, 2023 The subject matter of the article is the design of an attendance system based on face recognition with anti-spoofing, system alarm, and Email Automation to improve accuracy and efficiency, highlighting its potential to revolutionize traditional ...
Md. Apu Hosen +4 more
doaj +1 more source
The 2nd competition on counter measures to 2D face spoofing attacks [PDF]
, 2013 Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works ...
Ahmad, Iftikhar +34 more
core +3 more sources
Human abnormal behavior impact on speaker verification systems [PDF]
, 2018 Human behavior plays a major role in improving human-machine communication. The performance must be affected by abnormal behavior as systems are trained using normal utterances.
Ilk, Hakki Gokhan +3 more
core +1 more source
A Face Spoofing Detection Method Based on Domain Adaptation and Lossless Size Adaptation
IEEE Access, 2020 In this paper, a face spoofing detection method called the Fully Convolutional Network with Domain Adaptation and Lossless Size Adaptation (FCN-DA-LSA) is proposed.
Wenyun Sun +3 more
doaj +1 more source
CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-Spoofing [PDF]
Computer Vision and Pattern RecognitionDomain generalization (DG) based Face Anti-Spoofing (FAS) aims to improve the model's performance on unseen domains. Existing methods either rely on domain labels to align domain-invariant feature spaces, or disentangle generalizable features from the ...
Ajian Liu +7 more
semanticscholar +1 more source
Face Spoofing Detection by Fusing Binocular Depth and Spatial Pyramid Coding Micro-Texture Features
, 2017 Robust features are of vital importance to face spoofing detection, because various situations make feature space extremely complicated to partition. Thus in this paper, two novel and robust features for anti-spoofing are proposed.
Lin, Tianwei, Song, Xiao, Zhao, Xu
core +1 more source
Gradient Alignment for Cross-Domain Face Anti-Spoofing [PDF]
Computer Vision and Pattern RecognitionRecent advancements in domain generalization (DG) for face anti-spoofing (FAS) have garnered considerable attention. Traditional methods have focused on designing learning objectives and additional modules to isolate domain-specific features while ...
B. Le, Simon S. Woo
semanticscholar +1 more source
Deteksi Serangan Spoofing Wajah Menggunakan Convolutional Neural Network
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2021 Facial recognition-based biometric authentication is increasingly frequently employed. However, a facial recognition system should not only recognize an individual's face, but it should also be capable of detecting spoofing attempts using printed faces ...
Raden Budiarto Hadiprakoso +1 more
doaj +1 more source
A Dataset and Benchmark Towards Multi-Modal Face Anti-Spoofing Under Surveillance Scenarios
IEEE Access, 2021 Face Anti-spoofing (FAS) is a challenging problem due to complex serving scenarios and diverse face presentation attack patterns. Especially when captured images are low-resolution, blurry, and coming from different domains, the performance of FAS will ...
Xudong Chen +3 more
doaj +1 more source