Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack
Abstract Iris presentation attack detection (PAD) is still an unsolved problem mainly due to the various spoof attack strategies and poor generalisation on unseen attackers. In this paper, the merits of both light field (LF) imaging and deep learning (DL) are leveraged to combine 2D texture and 3D g...
Saved in:
| Main Authors: | Zhengquan Luo, Yunlong Wang, Nianfeng Liu, Zilei Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
|
| Series: | IET Biometrics |
| Online Access: | https://doi.org/10.1049/bme2.12092 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
On the geometry of stack-sorting simplices
by: Cameron Ake, et al.
Published: (2025-08-01) -
Presentation Attack Detection using iris periocular visual spectrum images
by: Andrés Valenzuela, et al.
Published: (2024-12-01) -
Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms
by: Jose Maureira, et al.
Published: (2022-07-01) -
Impact of Occlusion Masks on Gender Classification from Iris Texture
by: Claudio Yáñez, et al.
Published: (2024-01-01) -
D43. To Stack or Not to Stack: An Institutional Experience With Autologous Stacked-flaps for Breast Reconstruction
by: Idanis Perez-Alvarez, MD, et al.
Published: (2025-05-01)