An accurate multi-modal biometric identification system for person identification via fusion of face and finger print

Aleem, S., Yang, P. orcid.org/0000-0002-8553-7127, Masood, S. et al. (2 more authors) (2020) An accurate multi-modal biometric identification system for person identification via fusion of face and finger print. World Wide Web, 23 (2). pp. 1299-1317. ISSN 1386-145X

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Springer Nature.
Keywords: Face recognition; Finger print recognition; Cyber-physical systems; Extended local binary patterns; Local non-matrix factorization
Dates:
  • Accepted: 23 May 2019
  • Published (online): 21 June 2019
  • Published: March 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 23 Sep 2019 14:02
Last Modified: 16 Dec 2021 10:09
Status: Published
Publisher: Springer Nature
Refereed: Yes
Identification Number: https://doi.org/10.1007/s11280-019-00698-6

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