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dc.contributor.authorSousedik, Ctirad
dc.contributor.authorBreithaupt, Ralph
dc.contributor.authorBours, Patrick
dc.date.accessioned2018-02-12T11:25:30Z
dc.date.available2018-02-12T11:25:30Z
dc.date.created2017-05-29T12:54:30Z
dc.date.issued2017
dc.identifier.isbn978-3-319-59128-5
dc.identifier.urihttp://hdl.handle.net/11250/2484044
dc.description.abstractWe propose a technique for analysis of fingerprints scanned free-air (not pressed against a glass) with Optical Coherence Tomography (OCT). Fingerprints from the surface and subdermal parts of the finger are extracted from a 2 GB volumetric scan in cca. 2 s using our specialized technique and GPU acceleration on GeForce GTX 980. The technique provides fingerprints that perform with promising error rates that demonstrate the potential of the OCT for improved fingerprint identification, as well as its potential for prevention of biometric spoofing (PAD).nb_NO
dc.language.isoengnb_NO
dc.publisherSpringernb_NO
dc.relation.ispartofImage Analysis 20th Scandinavian Conference, SCIA 2017 Tromsø, Norway, June 12–14, 2017 Proceedings, Part II
dc.titleClassification of Fingerprints Captured Using Optical Coherence Tomographynb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber326-337nb_NO
dc.identifier.doi10.1007/978-3-319-59129-2_28
dc.identifier.cristin1472490
dc.description.localcodeThis is a post-peer-review, pre-copyedit version of an article published in [Scandinavian Conference on Image Analysis]. Locked until 19.5.2018 due to copyright restrictions. The final authenticated version is available online at: https://link.springer.com/chapter/10.1007%2F978-3-319-59129-2_28nb_NO
cristin.unitcode194,18,21,80
cristin.unitnameNorwegian Information Security Lab
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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