Results 21 to 30 of about 126,175 (202)

Anomaly Detection with Transformer in Face Anti-spoofing

open access: yesJournal of WSCG, 2023
Transformers are emerging as the new gold standard in various computer vision applications, and have already been used in face anti-spoofing demonstrating competitive performance. In this paper, we propose a network with the ViT transformer and ResNet as the backbone for anomaly detection in face anti-spoofing and compare the performance of various one-
Abduh, Latifah   +2 more
openaire   +3 more sources

Detection of face spoofing attacks on biometric identification systems

open access: yesAdaptivni Sistemi Avtomatičnogo Upravlinnâ, 2023
The object of the study is spoofing attacks on identification systems based on human face biometrics. The article provides an overview of the main types of spoofing attacks and features of their detection, as well as an overview of existing solutions for
D. Zhuravlov, О. Polshakova
doaj   +1 more source

A Novel Face Spoofing Detection Using hand crafted MobileNet

open access: yesVFAST Transactions on Software Engineering, 2023
There are several uses for face spoofing detection, including human-robot communication, business, film, hotel services, and even politics. Despite the adoption of numerous supervised and unsupervised techniques in a wide range of domains, proper ...
Sayyam Zahra   +4 more
semanticscholar   +1 more source

Cross‐ethnicity face anti‐spoofing recognition challenge: A review

open access: yesIET Biometrics, 2021
Face anti‐spoofing is critical to prevent face recognition systems from a security breach. The biometrics community has achieved impressive progress recently due to the excellent performance of deep neural networks and the availability of large datasets.
Ajian Liu   +15 more
doaj   +1 more source

Visible/Infrared face spoofing detection using texture descriptors [PDF]

open access: yesMATEC Web of Conferences, 2019
With extensive applications of face recognition technologies, face anti-spoofing played an important role and has drawn a great attention in the security systems. This study represents a multi-spectral face anti-spoofing method working with both visible (
Mohamed Shaimaa   +2 more
doaj   +1 more source

Effect of Facial Shape Information Reflected on Learned Features in Face Spoofing Detection

open access: yes網際網路技術學刊, 2022
Face recognition is a convenient and non-contact biometric method used widely for secure personal authentication. However, the face is an exposed body part, and face spoofing attacks, which compromise the security of systems that use face recognition ...
Su-Gyeong Yu Su-Gyeong Yu   +3 more
semanticscholar   +1 more source

Face anti-spoofing with joint spoofing medium detection and eye blinking analysis [PDF]

open access: yesКомпьютерная оптика, 2019
Modern biometric systems based on face recognition demonstrate high recognition quality, but they are vulnerable to face presentation attacks, such as photo or replay attack.
Mikhail Nikitin   +2 more
doaj   +1 more source

A Slowly Varying Spoofing Algorithm on Loosely Coupled GNSS/IMU Avoiding Multiple Anti-Spoofing Techniques

open access: yesSensors, 2022
When satellite navigation terminal sensors encounter malicious signal spoofing or interference, if attention is not paid to improving their anti-spoofing ability, the performance of the sensors will be seriously affected.
Yangjun Gao, Guangyun Li
doaj   +1 more source

IoT Cloud-Based Framework for Face Spoofing Detection with Deep Multicolor Feature Learning Model

open access: yesJ. Sensors, 2021
A face-based authentication system has become an important topic in various fields of IoT applications such as identity validation for social care, crime detection, ATM access, computer security, etc.
Sajad Einy, Cemil Öz, Y. D. Navaei
semanticscholar   +1 more source

Discriminative representation combinations for accurate face spoofing detection [PDF]

open access: yesPattern Recognition, 2019
Three discriminative representations for face presentation attack detection are introduced in this paper. Firstly we design a descriptor called spatial pyramid coding micro-texture (SPMT) feature to characterize local appearance information. Secondly we utilize the SSD, which is a deep learning framework for detection, to excavate context cues and ...
Xiao Song 0002   +3 more
openaire   +2 more sources

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