A Systematic Review on Deep Learning-Based Indirect Attack Detection for Liveness Detection in Multimodal Biometric Systems and Applications

PW Gedam, A Tiwari, M Dhabu - Available at SSRN 5025164 - papers.ssrn.com
A systematic review of deep learning and machine learning based techniques for liveness
detection in multimodal biometric systems is conducted, with a particular focus on indirect …

Deep Learning for Biometric Attack Detection and Recognition

MM Khan, AC Sen, OP Singh, JK Chaudhary… - … Conference on Recent …, 2023 - Springer
Integration of biometric systems is essential for developing effective security and
authentication strategies. These systems are nevertheless vulnerable to presentation …

AttackNet: Enhancing biometric security via tailored convolutional neural network architectures for liveness detection

O Kuznetsov, D Zakharov, E Frontoni, A Maranesi - Computers & Security, 2024 - Elsevier
Biometric security is the cornerstone of modern identity verification and authentication
systems, where the integrity and reliability of biometric samples is of paramount importance …

Cross-Database Liveness Detection: Insights from Comparative Biometric Analysis

O Kuznetsov, D Zakharov, E Frontoni… - arXiv preprint arXiv …, 2024 - arxiv.org
In an era where biometric security serves as a keystone of modern identity verification
systems, ensuring the authenticity of these biometric samples is paramount. Liveness …

A contemporary survey of multimodal presentation attack detection techniques: challenges and opportunities

Kavita, GS Walia, R Rohilla - SN Computer Science, 2021 - Springer
Biometric recognition is a broad and dynamic field of research but the main problem of this
field is spoofing attack or presentation attack “use of fake biometric in place of the real …

Advanced Techniques for Biometric Authentication: Leveraging Deep Learning and Explainable AI

S Khairnar, S Gite, K Mahajan, B Pradhan… - IEEE …, 2024 - ieeexplore.ieee.org
Liveness face detection is essential for modern biometric systems, ensuring that input data is
genuine and not derived from a false image or video. Liveness face detection in today's …

Transformers and generative adversarial networks for liveness detection in multitarget fingerprint sensors

SB Sandouka, Y Bazi, N Alajlan - Sensors, 2021 - mdpi.com
Fingerprint-based biometric systems have grown rapidly as they are used for various
applications including mobile payments, international border security, and financial …

[HTML][HTML] Feature-level fusion of face and speech based multimodal biometric attendance system with liveness detection

K Jha, A Jain, S Srivastava - AIP Advances, 2024 - pubs.aip.org
The rapid growth of deep learning and the Internet of Things has spurred the need for
touchless biometric systems in areas where cleanliness and non-intrusive user interaction …

A contemporary survey of unimodal liveness detection techniques: Challenges & opportunities

K Kavita, GS Walia, R Rohilla - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Biometric recognition is an extensive and energizing field of research but spoofing attacks,"
a deceiver pretense as an authorized user by reproducing the biometrics of the original …

Spatio-temporal texture features for presentation attack detection in biometric systems

S Pan, F Deravi - 2019 Eighth International Conference on …, 2019 - ieeexplore.ieee.org
Spatio-temporal information is valuable as a discriminative cue for presentation attack
detection, where the temporal texture changes and fine-grained motions (such as eye …