Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack-Reference-Cited by-同舟云学术

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Combining 2D texture and 3D geometry features for Reliable iris presentation attack detection using light field focal stack

Published:2022-08-27 Issue:5 Volume:11 Page:420-429
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET Biometrics

Author:

Luo Zhengquan¹^ORCID,Wang Yunlong²^ORCID,Liu Nianfeng²,Wang Zilei¹

Affiliation:

1. Department of Automation University of Science and Technology of China Hefei Anhui China

2. Center for Research on Intelligent Perception and Computing (CRIPAC) National Laboratory of Pattern Recognition (NLPR) Institute of Automation Chinese Academy of Sciences (CASIA) Beijing China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/bme2.12092

Reference41 articles.

1. Iris liveness detection based on quality related features

2. Efficient Iris Spoof Detection via Boosted Local Binary Patterns

3. Generalized textured contact lens detection by extracting BSIF description from Cartesian iris images

4. Robust Scheme for Iris Presentation Attack Detection Using Multiscale Binarized Statistical Image Features

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