Evaluation of Deep Learning Models for Person Authentication Based on Touch Gesture-Reference-Cited by-同舟云学术

Evaluation of Deep Learning Models for Person Authentication Based on Touch Gesture

Published:2022 Issue:2 Volume:42 Page:465-481
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Bajaber Asrar,Fadel Mai,Elrefaei Lamiaa

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v42n2/46115/pdf

Reference39 articles.

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3. A survey on touch dynamics authentication in mobile devices;Teh;Computers and Security,2016

4. Features extraction scheme for behavioural biometric authentication in touchscreen mobile devices;Alariki;International Journal of Applied Engineering Research,2016

5. A survey of multi-biometric cryptographic security system;Gaikawad;International Journal of Science and Research (IJSR),2015

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1. L3AM: Linear Adaptive Additive Angular Margin Loss for Video-Based Hand Gesture Authentication;International Journal of Computer Vision;2024-05-06

2. Deep Learning Application in Continuous Authentication;Lecture Notes in Electrical Engineering;2024

3. Understanding Physiological and Behavioral Characteristics Separately for High-Performance Video-Based Hand Gesture Authentication;IEEE Transactions on Instrumentation and Measurement;2023

4. Biometric Template Protection for Dynamic Touch Gestures Based on Fuzzy Commitment Scheme and Deep Learning;Mathematics;2022-01-25