Unified Generative Adversarial Networks for Multidomain Fingerprint Presentation Attack Detection
With the rapid growth of fingerprint-based biometric systems, it is essential to ensure the security and reliability of the deployed algorithms. Indeed, the security vulnerability of these systems has been widely recognized. Thus, it is critical to enhance the generalization ability of fingerprint p...
Main Authors: | Soha B. Sandouka, Yakoub Bazi, Haikel Alhichri, Naif Alajlan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-08-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/8/1089 |
Similar Items
-
Transformers and Generative Adversarial Networks for Liveness Detection in Multitarget Fingerprint Sensors
by: Soha B. Sandouka, et al.
Published: (2021-01-01) -
Adversarial attacks on fingerprint liveness detection
by: Jianwei Fei, et al.
Published: (2020-01-01) -
Deep Open-Set Domain Adaptation for Cross-Scene Classification based on Adversarial Learning and Pareto Ranking
by: Reham Adayel, et al.
Published: (2020-05-01) -
UGAN: Unified Generative Adversarial Networks for Multidirectional Text Style Transfer
by: Wei Yu, et al.
Published: (2020-01-01) -
Cross-Sensor Fingerprint Matching Using Siamese Network and Adversarial Learning
by: Adhwa Alrashidi, et al.
Published: (2021-05-01)