Privacy-Preserving Multi-Biometric Indexing Based on Frequent Binary Patterns-Reference-Cited by-同舟云学术

Privacy-Preserving Multi-Biometric Indexing Based on Frequent Binary Patterns

Published:2024 Issue: Volume:19 Page:4835-4850
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Osorio-Roig Dailé¹^ORCID,González-Soler Lázaro Janier¹^ORCID,Rathgeb Christian¹^ORCID,Busch Christoph¹^ORCID

Affiliation:

1. Department of Computer Science, da/sec–Biometrics and Security Research Group, Hochschule Darmstadt, Darmstadt, Germany

Funder

German Federal Ministry of Education and Research

Hessian Ministry of Higher Education, Research, Science and the Arts within their joint support of the National Research Center for Applied Cybersecurity

European Union’s Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie Grant [TRaining in Secure and PrivAcy-preserving biometricS-Early Training Networks (TReSPAsS-ETN)]

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10494735.pdf?arnumber=10494735

Reference68 articles.

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