Akhoury, SSDarlow, LN2015-12-182015-12-182015-02Akhoury, 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, 2015http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7054240&tag=1http://hdl.handle.net/10204/8332IEEE 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 websitePhysiologists 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).enBiometricsOptical Coherence TomographyOCTSubsurface fingerprintFingerprint patternsSwept laser sourceConference PresentationAkhoury, S., & Darlow, L. (2015). Extracting subsurface fingerprints using optical coherence tomography. http://hdl.handle.net/10204/8332Akhoury, SS, and LN Darlow. "Extracting subsurface fingerprints using optical coherence tomography." (2015): http://hdl.handle.net/10204/8332Akhoury S, Darlow L, Extracting subsurface fingerprints using optical coherence tomography; 2015. http://hdl.handle.net/10204/8332 .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 -