Recent advances in deep learning techniques for face recognition
In recent years, researchers have proposed many deep learning (DL) methods for various
tasks, and particularly face recognition (FR) made an enormous leap using these …
tasks, and particularly face recognition (FR) made an enormous leap using these …
Deep learning techniques for biometric security: A systematic review of presentation attack detection systems
Biometric technology, including finger vein, fingerprint, iris, and face recognition, is widely
used to enhance security in various devices. In the past decade, significant progress has …
used to enhance security in various devices. In the past decade, significant progress has …
Framework for user behavioural biometric identification using a multimodal scheme with keystroke trajectory feature and recurrent neural network on a mobile platform
Diverse applications are used on mobile devices. Because of the increasing dependence on
information systems, immense amounts of personal and sensitive data are stored on mobile …
information systems, immense amounts of personal and sensitive data are stored on mobile …
AttackNet: Enhancing biometric security via tailored convolutional neural network architectures for liveness detection
Biometric security is the cornerstone of modern identity verification and authentication
systems, where the integrity and reliability of biometric samples is of paramount importance …
systems, where the integrity and reliability of biometric samples is of paramount importance …
Survey of Face Liveness Detection for Unsupervised Locations
D Apgar, MR Abid - 2021 IEEE 12th Annual Information …, 2021 - ieeexplore.ieee.org
Spoofing attacks represent a major threat to facial recognition systems. There are many
types of attacks that can be carried out, ranging from 2D photo attacks to 3D mask attacks …
types of attacks that can be carried out, ranging from 2D photo attacks to 3D mask attacks …
Liveness Detection in Computer Vision: Transformer-based Self-Supervised Learning for Face Anti-Spoofing
A Keresh, P Shamoi - arXiv preprint arXiv:2406.13860, 2024 - arxiv.org
Face recognition systems are increasingly used in biometric security for convenience and
effectiveness. However, they remain vulnerable to spoofing attacks, where attackers use …
effectiveness. However, they remain vulnerable to spoofing attacks, where attackers use …
A Fusion-Based Deep Neural Networks Approach for Face Liveness Detection
M Aydin, M Taskiran, N Kahraman… - … on Innovations in …, 2023 - ieeexplore.ieee.org
Face recognition systems, which are used for access control, security surveillance, and
mobile payments, are popular in recent years among biometric systems with their ability to …
mobile payments, are popular in recent years among biometric systems with their ability to …
Factors Related To The Improvement of Face Anti-Spoofing Detection Techniques With CNN Classifier
SR Chavan, SS Sherekar… - 2021 International …, 2021 - ieeexplore.ieee.org
Face recognition is one of the most successful application & has recently gain popularity
with significant attention. Extensive research has been done in recognising the identity of the …
with significant attention. Extensive research has been done in recognising the identity of the …
DeNet_SVM: Product Based Recommendation System using Deep Learning and Web Usage Mining
B Bhavana, N Raheja - 2022 Seventh International Conference …, 2022 - ieeexplore.ieee.org
The world is abundant with digital products in which selecting, searching and buying
products for the users is harder. Recommendation system helps the users to overcome this …
products for the users is harder. Recommendation system helps the users to overcome this …
Convolutional Neural Networks to Protect Against Spoofing Attacks on Biometric Face Authentication
A Kuznetsov, S Fedotov, M Bagmut - Digital Transformation: 13th PLAIS …, 2021 - Springer
Modern technologies of authentication and authorization of access play a significant role in
ensuring the protection of information in various practical applications. We consider the most …
ensuring the protection of information in various practical applications. We consider the most …