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dc.contributor.author Darlow, LN
dc.contributor.author Webb, L
dc.contributor.author Botha, N
dc.date.accessioned 2016-11-29T09:57:58Z
dc.date.available 2016-11-29T09:57:58Z
dc.date.issued 2016-05
dc.identifier.citation Darlow, L.N., Webb, L. and Botha, N. 2016. Automated spoof-detection for fingerprints using optical coherence tomography. Applied Optics, 55(13), 3387-3396 en_US
dc.identifier.issn 1559-128X
dc.identifier.uri https://www.osapublishing.org/ao/abstract.cfm?uri=ao-55-13-3387
dc.identifier.uri http://hdl.handle.net/10204/8863
dc.description Copyright: 2015 OSA Publishing. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. The definitive version of the work is published in Applied Optics, 55(13), 3387-3396 en_US
dc.description.abstract Fingerprint recognition systems are prevalent in high-security applications. As a result, the act of spoofing these systems with artificial fingerprints is of increasing concern. This research presents an automatic means for spoof-detection using optical coherence tomography (OCT). This technology is able to capture a 3D representation of the internal structure of the skin and is thus not limited to a 2D surface scan. The additional information afforded by this representation means that accurate spoof-detection can be achieved. Two features were extracted to detect the presence of (1) an additional thin layer on the surface of the skin and (2) a thicker additional layer or a complete artificial finger. An analysis of these features showed that they are highly separable, resulting in 100% accuracy regarding spoof-detection, with no false rejections of real fingers. This is the first attempt at fully automated spoof-detection using OCT. en_US
dc.language.iso en en_US
dc.publisher OSA Publishing en_US
dc.relation.ispartofseries Workflow;17097
dc.subject Optical coherence tomography en_US
dc.subject OCT en_US
dc.subject Image processing en_US
dc.subject Tomographic image processing en_US
dc.subject Fingerprint recognition systems en_US
dc.subject High-security applications en_US
dc.title Automated spoof-detection for fingerprints using optical coherence tomography en_US
dc.type Article en_US


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