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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Sclera recognition: on the quality measure and segmentation of degraded images captured under relaxed imaging conditions

Lookup NU author(s): sinan Alkassar, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay, Professor Jonathon Chambers

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This is the authors' accepted manuscript of an article that has been published in its final definitive form by The Institution of Engineering and Technology, 2017.

For re-use rights please refer to the publisher's terms and conditions.

Publication metadata

Author(s): Alkassar S, Woo WL, Dlay SS, Chambers JA

Publication type: Article

Publication status: Published

Journal: IET Biometrics

Year: 2017

Volume: 6

Issue: 4

Pages: 266 - 275

Print publication date: 29/06/2017

Online publication date: 21/12/2016

Acceptance date: 17/12/2016

Date deposited: 18/07/2017

ISSN (print): 2047-4938

ISSN (electronic): 2047-4946

Publisher: The Institution of Engineering and Technology

URL: https://doi.org/10.1049/iet-bmt.2016.0114

DOI: 10.1049/iet-bmt.2016.0114

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