Fast and accurate retinal identification system : using retinal blood vasculature landmarks

Aleem, S., Sheng, B., Li, P. et al. (2 more authors) (2019) Fast and accurate retinal identification system : using retinal blood vasculature landmarks. IEEE Transactions on Industrial Informatics, 15 (7). pp. 4099-4110. ISSN 1551-3203

Abstract

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Copyright, Publisher and Additional Information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Biometrics; PCA; retinal identification
Dates:
  • Accepted: 11 November 2018
  • Published (online): 15 November 2018
  • Published: July 2019
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: 11 Sep 2019 12:58
Last Modified: 15 Nov 2019 01:59
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/tii.2018.2881343

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