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An Anomaly Detection Approach to Face Spoofing Detection: A New Formulation and Evaluation Protocol

open access: yesIEEE 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
doaj   +4 more sources

A high-performance adaptive fusion network for face anti-spoofing detection [PDF]

open access: yesScientific Reports
In 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
doaj   +3 more sources

Efficient Face Spoofing Detection With Flash [PDF]

open access: yesIEEE Transactions on Biometrics, Behavior, and Identity Science, 2021
In light of the rising demand for biometric-authentication systems, preventing face spoofing attacks is a critical issue for the safe deployment of face recognition systems. Here, we propose an efficient face presentation attack detection (PAD) algorithm
Akinori F. Ebihara   +2 more
semanticscholar   +2 more sources

Face Spoofing Detection using Inception-v3 on RGB Modal and Depth Modal

open access: yesJurnal 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
doaj   +2 more sources

Deep learning based intelligent system for robust face spoofing detection using texture feature measurement

open access: yesMeasurement: Sensors, 2023
The use of biometric structures in our everyday lives is becoming increasingly frequent. Biometrics play a crucial role in various applications, including crime analysis, person identification, and verification.
Pavuluri Jaswanth   +2 more
doaj   +2 more sources

A Face Spoofing Detection Method Based on Domain Adaptation and Lossless Size Adaptation

open access: yesIEEE 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   +2 more sources

Attention-Based Two-Stream Convolutional Networks for Face Spoofing Detection

open access: yesIEEE Transactions on Information Forensics and Security, 2020
Since the human face preserves the richest information for recognizing individuals, face recognition has been widely investigated and achieved great success in various applications in the past decades.
Haonan Chen, Zhen Lei, Stan Z Li
exaly   +2 more sources

Face Spoofing Detection using Deep Learning

open access: yesCoRR
Digital image spoofing has emerged as a significant security threat in biometric authentication systems, particularly those relying on facial recognition.
Najeebullah   +2 more
semanticscholar   +3 more sources

SHIELD: an evaluation benchmark for face spoofing and forgery detection with multimodal large language models [PDF]

open access: yesVisual Intelligence
Multimodal large language models (MLLMs) have demonstrated strong capabilities in vision-related tasks, capitalizing on their visual semantic comprehension and reasoning capabilities.
Yichen Shi   +9 more
doaj   +2 more sources

A Cascade Face Spoofing Detector Based on Face Anti-Spoofing R-CNN and Improved Retinex LBP

open access: yesIEEE 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   +3 more sources

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