A Grid-based neural network framework for multimodal biometrics
Recent scientific investigations indicate that multimodal biometrics overcome the technical limitations of unimodal biometrics, making them ideally suited for everyday life applications that require a reliable authentication system.
Venkatraman, Sitalakshmi
core
Biometric authentication systems: Trends, challenges, and future prospects - A comprehensive review. [PDF]
Kakade S, Raut U.
europepmc +1 more source
Extreme Edge Computing for Secure and Private Multimodal Biometric Identification in Intelligent IoT Systems. [PDF]
de la Torre JA +5 more
europepmc +1 more source
Brain Signal for Secure EEG Biometric Authentication: A Comprehensive Survey. [PDF]
de Ataide ML +4 more
europepmc +1 more source
Tactical-Grade Wearables and Authentication Biometrics. [PDF]
Agiomavritis F, Karanasiou I.
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The IEEE Biometrics Compendium
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 ...
CAPPELLI, RAFFAELE
core
Overcoming Big Data Interoperability Challenges Generated by Ubiquitous Devices Outside Traditional Health Systems: A Systematic Review Protocol. [PDF]
Banik K +3 more
europepmc +1 more source
Using Wearable Technology to Predict the Occurrence of Severe Behavior Problems among Neurodiverse Individuals: A Systematic Review. [PDF]
Romani PW +3 more
europepmc +1 more source
A Systematic Literature Review on Biometric Authentication in Mobile Banking. [PDF]
Naji Ali H, Salim Mahmood Al-Dabbagh S.
europepmc +1 more source
A robust biometric system using wrist and dorsal vein images for person authentication. [PDF]
Gurunathan V, Sudhakar R.
europepmc +1 more source

