Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
Challenges and opportunities in biometric security: A survey
S Arora, MPS Bhatia - Information Security Journal: A Global …, 2022 - Taylor & Francis
Biometric systems identify individuals based on unique traits such as the face, fingerprints,
iris etc. The main objective of the study is to understand the role of deep learning in the …
iris etc. The main objective of the study is to understand the role of deep learning in the …
Domain adaptation in multi-channel autoencoder based features for robust face anti-spoofing
While the performance of face recognition systems has improved significantly in the last
decade, they are proved to be highly vulnerable to presentation attacks (spoofing). Most of …
decade, they are proved to be highly vulnerable to presentation attacks (spoofing). Most of …
Robust face anti‐spoofing using CNN with LBP and WLD
M Khammari - IET Image Processing, 2019 - Wiley Online Library
Automatically recognising people by their biometric characteristics is a well‐established
research area. Biometric systems are vulnerable to many different types of presentation …
research area. Biometric systems are vulnerable to many different types of presentation …
A two stream face anti-spoofing framework using multi-level deep features and ELBP features
The recent boom in publicly available face authentication (FA) system has brought forward
the susceptibility of FA systems to different attack vectors, especially spoofing/presentation …
the susceptibility of FA systems to different attack vectors, especially spoofing/presentation …
Privacy preservation and security challenges: a new frontier multimodal machine learning research
Multimodal machine learning is a vibrant multi-disciplinary field and achieved much
attention due to its wide range of applications. A research problem is multimodal, for the …
attention due to its wide range of applications. A research problem is multimodal, for the …
CloudNet: A LiDAR-based face anti-spoofing model that is robust against light variation
Face anti-spoofing (FAS) is a technology that protects face recognition systems from
presentation attacks. The current challenge faced by FAS studies is the difficulty in creating a …
presentation attacks. The current challenge faced by FAS studies is the difficulty in creating a …
Improving face anti-spoofing by 3D virtual synthesis
Face anti-spoofing is crucial for the security of face recognition systems. Learning based
methods especially deep learning based methods need large-scale training samples to …
methods especially deep learning based methods need large-scale training samples to …
Unseen face presentation attack detection using sparse multiple kernel Fisher null-space
SR Arashloo - IEEE Transactions on Circuits and Systems for …, 2020 - ieeexplore.ieee.org
We address the face presentation attack detection problem in the challenging conditions of
an unseen attack scenario where the system is exposed to novel presentation attacks that …
an unseen attack scenario where the system is exposed to novel presentation attacks that …
Silicone mask face anti-spoofing detection based on visual saliency and facial motion
Face recognition systems are widely used for target recognition and identity authentication,
such as automated teller machines, mobile phones, and entrance guard systems. However …
such as automated teller machines, mobile phones, and entrance guard systems. However …