An integrated approach for monitoring social distancing and face mask detection using stacked ResNet-50 and YOLOv5
SARS-CoV-19 is one of the deadliest pandemics the world has witnessed, taking around
5,049,374 lives till now across worldwide and 459,873 in India. To limit its spread numerous …
5,049,374 lives till now across worldwide and 459,873 in India. To limit its spread numerous …
[PDF][PDF] Insight on face liveness detection: A systematic literature review.
To review researcher‟ s attempts in response to the problem of spoofing and liveness
detection, map** the research overview from the literature survey into a suitable …
detection, map** the research overview from the literature survey into a suitable …
Replayed video attack detection based on motion blur analysis
Face presentation attacks are the main threats to face recognition systems, and many
presentation attack detection (PAD) methods have been proposed in recent years. Although …
presentation attack detection (PAD) methods have been proposed in recent years. Although …
A novel face presentation attack detection scheme based on multi-regional convolutional neural networks
Y Ma, L Wu, Z Li - Pattern Recognition Letters, 2020 - Elsevier
Face presentation attack detection methods based on deep learning have achieved
noticeable results. However, such methods tend to over-emphasize a certain local area …
noticeable results. However, such methods tend to over-emphasize a certain local area …
Optimizing deep CNN architectures for face liveness detection
R Koshy, A Mahmood - Entropy, 2019 - mdpi.com
Face recognition is a popular and efficient form of biometric authentication used in many
software applications. One drawback of this technique is that it is prone to face spoofing …
software applications. One drawback of this technique is that it is prone to face spoofing …
Deep learning for face anti-spoofing: An end-to-end approach
The importance of face anti-spoofing algorithms in biometric authentication systems is
becoming indispensable. Recently, the success of Convolution Neural Networks (CNN) in …
becoming indispensable. Recently, the success of Convolution Neural Networks (CNN) in …
An overview of deep learning techniques for biometric systems
Deep learning is an evolutionary advancement in the field of machine learning. The
technique has been adopted in several areas where the computer after processing volumes …
technique has been adopted in several areas where the computer after processing volumes …
DeBNet: multilayer deep network for liveness detection in face recognition system
As the uniqueness property of face, face recognition is widely used in area which needs
security. But it has some spoof attack by the unauthorized person to gain access of the …
security. But it has some spoof attack by the unauthorized person to gain access of the …
A classifications framework for continuous biometric authentication (2018–2024)
D Boshoff, GP Hancke - Computers & Security, 2025 - Elsevier
The increase in personal devices, the amount of private and sensitive information these
devices store/process, and the importance of this information have introduced vital security …
devices store/process, and the importance of this information have introduced vital security …
Dynamic face authentication systems: Deep learning verification for camera close-Up and head rotation paradigms
The popularity of face-authentication systems has also generated interest in the study of
malicious authentication attempts, such as face spoofing attacks. In this study we investigate …
malicious authentication attempts, such as face spoofing attacks. In this study we investigate …