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CNN-based anti-spoofing two-tier multi-factor authentication system
Muhammad Sajjad
, Salman Khan
,
TANVEER HUSSAIN
, Khan Muhammad
, Arun Kumar Sangaiah
, Aniello Castiglione
, Christian Esposito
, Sung Wook Baik
Computer Science
Oxford Brookes University
Vellore Institute of Technology
University of Salerno
Islamia College Peshawar
Sejong University
Research output
:
Contribution to journal
›
Article (journal)
›
peer-review
121
Citations (Scopus)
Overview
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Keyphrases
Anti-spoofing
100%
Authentication System
100%
Benchmark Dataset
25%
Biometric System
25%
Convolutional Neural Network
100%
Face Anti-spoofing
25%
Face Recognition
25%
Fingerprint Database
25%
Hard Biometrics
25%
Hashing
25%
Hybrid Method
25%
Multi-factor Authentication
100%
Multimodal Biometric Recognition
25%
Neural Network
100%
Neural Network Model
50%
Palm Vein
50%
Recognition Method
25%
Similar Processes
25%
Soft Biometrics
25%
Spoofing
100%
Two-tier
100%
Computer Science
Anti-Spoofing
100%
Authentication
33%
Biometric System
33%
Biometrics
33%
Convolutional Neural Network
100%
Experimental Result
33%
Face Recognition
33%
Factor Authentication System
100%
Fingerprint Database
33%
Hybrid Technique
33%
Multifactor Authentication
100%
Multimodal Biometric
33%
Spoofing
66%