Results 31 to 40 of about 7,700 (189)
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
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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
doaj +1 more source
Self-Domain Adaptation for Face Anti-Spoofing
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Although current face anti-spoofing methods achieve promising results under intra-dataset testing, they suffer from poor generalization to unseen attacks. Most existing works adopt domain adaptation (DA) or domain generalization (DG) techniques to address this problem.
Jingjing Wang 0005 +5 more
openaire +2 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
Consistency Regularization for Deep Face Anti-Spoofing
CoRR, 2021 Face anti-spoofing (FAS) plays a crucial role in securing face recognition systems. Empirically, given an image, a model with more consistent output on different views of this image usually performs better, as shown in Fig.1. Motivated by this exciting observation, we conjecture that encouraging feature consistency of different views may be a promising
Zezheng Wang +9 more
openaire +2 more sources
Face anti‐spoofing with refined triplet loss and multi‐level attention constraint network
Electronics Letters, 2021 One critical issue for existing face recognition (FR) systems is to ensure its accuracy and robustness, which calls for the development of face anti‐spoofing (FAS) algorithms to work against presentation attacks (PA).
Xingzhong Nong, Ying Zeng, Haifeng Hu
doaj +1 more source
Directional Difference Convolution and Its Application on Face Anti-Spoofing
Mathematics, 2022 In practical application, facial image recognition is vulnerable to be attacked by photos, videos, etc., while some currently used artificial feature extractors in machine learning, such as activity detection, texture descriptors, and distortion ...
Mingye Yang +3 more
doaj +1 more source
A Novel Feature Descriptor for Face Anti-Spoofing Using Texture Based Method
Cybernetics and Information Technologies, 2020 In this paper we propose a novel approach for face anti-spoofing called Extended Division Directional Ternary Co-relation Pattern (EDDTCP). The EDDTCP encodes co-relation of ternary edges based on the centre pixel gray values with its immediate ...
Raghavendra R. J., Kunte R. Sanjeev
doaj +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
Suppressing Spoof-Irrelevant Factors for Domain-Agnostic Face Anti-Spoofing
IEEE Access, 2021 Face anti-spoofing aims to prevent false authentications of face recognition systems by distinguishing whether an image is originated from a human face or a spoof medium.
Taewook Kim, Yonghyun Kim
doaj +1 more source