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Extracting subsurface fingerprints using optical coherence tomography

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dc.contributor.author Akhoury, SS
dc.contributor.author Darlow, LN
dc.date.accessioned 2015-12-18T12:47:20Z
dc.date.available 2015-12-18T12:47:20Z
dc.date.issued 2015-02
dc.identifier.citation Akhoury, S.S.A and Darlow, L.N. 2015. Extracting subsurface fingerprints using optical coherence tomography. In: IEEE Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference , Moscow, Russia, February 3-5, 2015 en_US
dc.identifier.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7054240&tag=1
dc.identifier.uri http://hdl.handle.net/10204/8332
dc.description IEEE Digital Information, Networking, and Wireless Communications (DINWC), 2015 Third International Conference , Moscow, Russia, February 3-5, 2015. 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 en_US
dc.description.abstract Physiologists have found that fingerprint patterns exist in the inner layers (viz. papillary junction) of the skin of the fingertip. However, conventional acquisition systems do not have capabilities to extract fingerprints at subsurface layers of the finger for use in identity authentication. The subsurface fingerprint representation is of a higher quality than the surface representation as it does not contain deformations such as creases or scars which may be present on the surface of the fingertip. This paper presents a novel approach to extract the subsurface fingerprint representation using a high-resolution imaging technology known as Optical Coherence Tomography (OCT). en_US
dc.language.iso en en_US
dc.relation.ispartofseries Workflow;15676
dc.subject Biometrics en_US
dc.subject Optical Coherence Tomography en_US
dc.subject OCT en_US
dc.subject Subsurface fingerprint en_US
dc.subject Fingerprint patterns en_US
dc.subject Swept laser source en_US
dc.title Extracting subsurface fingerprints using optical coherence tomography en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Akhoury, S., & Darlow, L. (2015). Extracting subsurface fingerprints using optical coherence tomography. http://hdl.handle.net/10204/8332 en_ZA
dc.identifier.chicagocitation Akhoury, SS, and LN Darlow. "Extracting subsurface fingerprints using optical coherence tomography." (2015): http://hdl.handle.net/10204/8332 en_ZA
dc.identifier.vancouvercitation Akhoury S, Darlow L, Extracting subsurface fingerprints using optical coherence tomography; 2015. http://hdl.handle.net/10204/8332 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Akhoury, SS AU - Darlow, LN AB - Physiologists have found that fingerprint patterns exist in the inner layers (viz. papillary junction) of the skin of the fingertip. However, conventional acquisition systems do not have capabilities to extract fingerprints at subsurface layers of the finger for use in identity authentication. The subsurface fingerprint representation is of a higher quality than the surface representation as it does not contain deformations such as creases or scars which may be present on the surface of the fingertip. This paper presents a novel approach to extract the subsurface fingerprint representation using a high-resolution imaging technology known as Optical Coherence Tomography (OCT). DA - 2015-02 DB - ResearchSpace DP - CSIR KW - Biometrics KW - Optical Coherence Tomography KW - OCT KW - Subsurface fingerprint KW - Fingerprint patterns KW - Swept laser source LK - https://researchspace.csir.co.za PY - 2015 T1 - Extracting subsurface fingerprints using optical coherence tomography TI - Extracting subsurface fingerprints using optical coherence tomography UR - http://hdl.handle.net/10204/8332 ER - en_ZA


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