Face template protection using deep LDPC codes learning-Reference-Cited by-同舟云学术

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Face template protection using deep LDPC codes learning

Published:2019-01-29 Issue:3 Volume:8 Page:190-197
ISSN:2047-4938
Container-title:IET Biometrics
language:en
Short-container-title:IET biom.

Author:

Chen Lingying¹²,Zhao Guanghui¹,Zhou Junwei¹^ORCID,Ho Anthony T.S.¹³,Cheng Lee‐Ming⁴

Affiliation:

1. School of Computer Science and TechnologyWuhan University of Technology122 Luoshi RoadWuhanHubeiPeople's Republic of China

2. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang UniversityFuzhouPeople's Republic of China

3. Department of Computer ScienceUniversity of SurreyGuildford GU2 7XHUK

4. Department of Electronic EngineeringCity University of Hong KongKowloonHong Kong

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/iet-bmt.2018.5156

Reference56 articles.

1. Lau J.K.Y. Kaheel A. El‐Saban M. et al. :‘Using facial data for device authentication or subject identification’.US Patent 9 652 663 2017

2. Samangouei P. Chellappa R.: ‘Convolutional neural networks for attribute‐based active authentication on mobile devices’.IEEE Int. Conf. on Biometrics Theory Applications and Systems Niagara Falls NY 2016 pp.1–8

3. Facial attributes for active authentication on mobile devices;Samangouei P.;Image Vis. Comput.,2016

4. Deeply vulnerable: a study of the robustness of face recognition to presentation attacks;Mohammadi A.;IET Biometrics,2018

5. Defense Against Primary User Emulation Attacks in Cognitive Radio Networks Using Advanced Encryption Standard

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3. Cross-Modal Learning Based Flexible Bimodal Biometric Authentication With Template Protection;IEEE Transactions on Information Forensics and Security;2024

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5. Face recognition system with hybrid template protection scheme for Cyber–Physical-Social Services;Pattern Recognition Letters;2023-10

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