Convolutional Neural Network Approach for Multispectral Facial Presentation Attack Detection in Automated Border Control Systems

Convolutional Neural Network Approach for Multispectral Facial Presentation Attack Detection in Automated Border Control Systems

Automated border control systems are the first critical infrastructure point when crossing a border country. Crossing border lines for unauthorized passengers is a high security risk to any country. This paper presents a multispectral analysis of presentation attack detection for facial biometrics u...

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Bibliographic Details
Main Authors: M. Araceli Sánchez-Sánchez, Cristina Conde, Beatriz Gómez-Ayllón, David Ortega-DelCampo, Aristeidis Tsitiridis, Daniel Palacios-Alonso, Enrique Cabello
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Entropy
Subjects:
biometrics
presentation attack detection
Anti-spoofing
automatic border crossing systems
convolutional neural network
Bio-inspired systems
Online Access:https://www.mdpi.com/1099-4300/22/11/1296

Internet

https://www.mdpi.com/1099-4300/22/11/1296

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