Segmentation of Palm Vein Images Using U-Net

dc.contributor.author	Marattukalam, Felix
dc.contributor.author	Abdulla, Waleed H
dc.coverage.spatial	Auckland, New Zealand
dc.date.accessioned	2021-02-02T22:57:47Z
dc.date.available	2021-02-02T22:57:47Z
dc.date.issued	2020-12-31
dc.identifier.uri	https://hdl.handle.net/2292/54348
dc.relation.ispartof	2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.title	Segmentation of Palm Vein Images Using U-Net
dc.type	Conference Item
dc.date.updated	2021-01-18T00:38:26Z
dc.rights.holder	Copyright: The author	en
pubs.author-url	https://ieeexplore.ieee.org/abstract/document/9306419
pubs.finish-date	2020-12-10
pubs.start-date	2020-12-7
dc.rights.accessrights	http://purl.org/eprint/accessRights/RestrictedAccess	en
pubs.subtype	Conference Paper
pubs.elements-id	835572

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