Moolla, YaseenSingh, ASaith, EbrahimAkhoury, S2016-04-222016-04-222015-12Moolla, Y, Singh, A, Saith, E and Akhoury, S. 2015. Fingerprint matching with optical coherence tomography. In: 8th International Symposium, ISVC 2012 Rethymnon, Crete, Greece, July 16-18, 2012 Revised Selected Papers, Part II, Las Vegas, United States of America 14-16 December 20150302-9743http://link.springer.com/chapter/10.1007/978-3-319-27863-6_22#page-1http://hdl.handle.net/10204/85058th International Symposium, ISVC 2012 Rethymnon, Crete, Greece, July 16-18, 2012 Revised Selected Papers, Part II, Las Vegas, United States of America 14-16 December 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 websiteFingerprint recognition is an important security technique with a steadily growing usage for the identification and verification of individuals. However, current fingerprint acquisition systems have certain disadvantages, which include the requirements of physical contact with the acquisition device, and the presence of undesirable artefacts, such as scars, on the surface of the fingerprint. This paper evaluates the accuracy of a complete framework for the capturing of undamaged, undistorted fingerprints from below the skins surface using optical coherence tomography hardware, the extraction and conversion of the subsurface data into a usable fingerprint and the matching of such fingerprints. The ability of the framework to integrate with existing fingerprint recognition systems and its ability to operate as an independent stand-alone system are both evaluated.enFingerprint matchingOptical coherence tomographyOCTSubsurface fingerprintsArticleMoolla, Y., Singh, A., Saith, E., & Akhoury, S. (2015). Fingerprint matching with optical coherence tomography. http://hdl.handle.net/10204/8505Moolla, Yaseen, A Singh, E Saith, and S Akhoury "Fingerprint matching with optical coherence tomography." (2015) http://hdl.handle.net/10204/8505Moolla Y, Singh A, Saith E, Akhoury S. Fingerprint matching with optical coherence tomography. 2015; http://hdl.handle.net/10204/8505.TY - Article AU - Moolla, Yaseen AU - Singh, A AU - Saith, E AU - Akhoury, S AB - Fingerprint recognition is an important security technique with a steadily growing usage for the identification and verification of individuals. However, current fingerprint acquisition systems have certain disadvantages, which include the requirements of physical contact with the acquisition device, and the presence of undesirable artefacts, such as scars, on the surface of the fingerprint. This paper evaluates the accuracy of a complete framework for the capturing of undamaged, undistorted fingerprints from below the skins surface using optical coherence tomography hardware, the extraction and conversion of the subsurface data into a usable fingerprint and the matching of such fingerprints. The ability of the framework to integrate with existing fingerprint recognition systems and its ability to operate as an independent stand-alone system are both evaluated. DA - 2015-12 DB - ResearchSpace DP - CSIR KW - Fingerprint matching KW - Optical coherence tomography KW - OCT KW - Subsurface fingerprints LK - https://researchspace.csir.co.za PY - 2015 SM - 0302-9743 T1 - Fingerprint matching with optical coherence tomography TI - Fingerprint matching with optical coherence tomography UR - http://hdl.handle.net/10204/8505 ER -