The IEEE Biometrics Compendium is the first IEEE virtual journal, which is a collection of previously published IEEE papers in specific scientific and technical disciplines, paired with value-added commentary from technology experts.
DE MARSICO, Maria, Venu Govindaraju
core
Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research. [PDF]
Muhammed A, Marcos J, Gonçalves N.
europepmc +1 more source
Convolutional Neural Network Approach Based on Multimodal Biometric System with Fusion of Face and Finger Vein Features. [PDF]
Wang Y, Shi D, Zhou W.
europepmc +1 more source
The IEEE Biometrics Compendium is a quarterly published IEEE Virtual Journal created by IEEE's Biometrics Council. Each issue focuses on research areas in biometrics and contains commentary from experts in the IEEE Biometrics Council. Subscribers receive
DE MARSICO, Maria, Venu Govindaraju
core
PPG-based biometric authentication: A review on architectures, datasets, attacks and security challenges. [PDF]
Aguilar D +3 more
europepmc +1 more source
Hybrid Deep Learning and Discrete Wavelet Transform-Based ECG Biometric Recognition for Arrhythmic Patients and Healthy Controls. [PDF]
Asif MS +6 more
europepmc +1 more source
Cancelable biometrics for bimodal cryptosystems
Biometric-based techniques have recently emerged as a trustworthy and effective approach of user authentication; however, unlike conventional authentication methods such as passwords and tokens, if an enrolled biometric template is compromised, usually it cannot be revoked or re-issued. In this paper, four naive cancelable techniques, namely, shifting,
Alarcon-Aquino, V +4 more
openaire +1 more source
Governing Privacy-Preserving Face Recognition in Transport Infrastructures: A Comprehensive Review. [PDF]
Sanz EMB +3 more
europepmc +1 more source
An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream. [PDF]
El-Rahiem BA +4 more
europepmc +1 more source
A secure and explainable multimodal biometric system using trust adaptive fusion for face and fingerprint. [PDF]
Chitrapu P, Morampudi MK, Kalluri HK.
europepmc +1 more source

