Border Control Morphing Attack Detection With a Convolutional Neural Network De-Morphing Approach

Border Control Morphing Attack Detection With a Convolutional Neural Network De-Morphing Approach

Currently, the use of biometric identification, automated or semiautomated, is a reality. For this reason, the number of attacks has increased in such systems. One of the most common biometric attacks is the presentation attack (PA) because it is relatively easy to perform. Automated border control...

Full description

Bibliographic Details
Main Authors: David Ortega-Delcampo, Cristina Conde, Daniel Palacios-Alonso, Enrique Cabello
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
ABC
biometric systems
de-morphing
neural networks
MAD
Online Access:https://ieeexplore.ieee.org/document/9091520/

Internet

https://ieeexplore.ieee.org/document/9091520/

Similar Items