Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms

Author:

Maureira Jose1,Tapia Juan E.2ORCID,Arellano Claudia3,Busch Christoph2

Affiliation:

1. TOC Biometrics, R&D Center SR‐226 Santiago Chile

2. da/sec‐Biometrics and Internet Security Research Group Hochschule Darmstadt Darmstadt Germany

3. Universidad Adolfo Ibañez Santiago Chile

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Person Identification System Using Periocular Biometrics Based on Hybrid Optimal Dense Capsule Network;International Journal of Pattern Recognition and Artificial Intelligence;2024-01-20

2. Iris Liveness Detection Competition (LivDet-Iris) – The 2023 Edition;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

3. Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation;2022 IEEE Sixth Ecuador Technical Chapters Meeting (ETCM);2022-10-11

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