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Performance analysis of a hybrid fingerprint extracted from optical coherence tomography fingertip scans

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dc.contributor.author Darlow, Luke N
dc.contributor.author Connan, J
dc.contributor.author Singh, Ann
dc.date.accessioned 2017-07-28T09:04:12Z
dc.date.available 2017-07-28T09:04:12Z
dc.date.issued 2016-06
dc.identifier.citation Darlow, L.N., Connan, J. and Singh, A. 2016. Performance analysis of a hybrid fingerprint extracted from optical coherence tomography fingertip scans. 2016 IEEE International Conference on Biometrics (ICB), 13-16 June 2016, Halmstad, Sweden. DOI: 10.1109/ICB.2016.7550045 en_US
dc.identifier.isbn 978-1-5090-1869-7
dc.identifier.uri DOI: 10.1109/ICB.2016.7550045
dc.identifier.uri http://ieeexplore.ieee.org/document/7550045/
dc.identifier.uri http://hdl.handle.net/10204/9360
dc.description Copyright: 2016 SPIE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.abstract The Hybrid fingerprint is a local-quality-specific blend of the surface and internal fingerprints, extracted from optical coherence tomography scans. Owing to its origin, and the manner in which it is obtained, the Hybrid fingerprint is a high-quality and secure fingerprint acquisition solution. This research entails a detailed description of the Hybrid fingerprint, the techniques involved to produce it, and a performance analysis of it. A dataset of 282 fingertip scans was established. Two recognised minutiae extraction and fingerprint matching algorithms were applied to assess the performance of the Hybrid fingerprint. The best equal error rate measured was 1.25%. NIST NFIQ scores and orientation certainty level scores indicated the superiority of the Hybrid fingerprint compared to the internal fingerprint. en_US
dc.language.iso es en_US
dc.publisher SPIE en_US
dc.relation.ispartofseries Worklist;17815
dc.subject Hybrid fingerprints en_US
dc.subject Optical coherence tomography en_US
dc.subject Biometrics en_US
dc.subject Internal fingerprints en_US
dc.title Performance analysis of a hybrid fingerprint extracted from optical coherence tomography fingertip scans en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Darlow, L. N., Connan, J., & Singh, A. (2016). Performance analysis of a hybrid fingerprint extracted from optical coherence tomography fingertip scans. SPIE. http://hdl.handle.net/10204/9360 en_ZA
dc.identifier.chicagocitation Darlow, Luke N, J Connan, and Ann Singh. "Performance analysis of a hybrid fingerprint extracted from optical coherence tomography fingertip scans." (2016): http://hdl.handle.net/10204/9360 en_ZA
dc.identifier.vancouvercitation Darlow LN, Connan J, Singh A, Performance analysis of a hybrid fingerprint extracted from optical coherence tomography fingertip scans; SPIE; 2016. http://hdl.handle.net/10204/9360 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Darlow, Luke N AU - Connan, J AU - Singh, Ann AB - The Hybrid fingerprint is a local-quality-specific blend of the surface and internal fingerprints, extracted from optical coherence tomography scans. Owing to its origin, and the manner in which it is obtained, the Hybrid fingerprint is a high-quality and secure fingerprint acquisition solution. This research entails a detailed description of the Hybrid fingerprint, the techniques involved to produce it, and a performance analysis of it. A dataset of 282 fingertip scans was established. Two recognised minutiae extraction and fingerprint matching algorithms were applied to assess the performance of the Hybrid fingerprint. The best equal error rate measured was 1.25%. NIST NFIQ scores and orientation certainty level scores indicated the superiority of the Hybrid fingerprint compared to the internal fingerprint. DA - 2016-06 DB - ResearchSpace DP - CSIR KW - Hybrid fingerprints KW - Optical coherence tomography KW - Biometrics KW - Internal fingerprints LK - https://researchspace.csir.co.za PY - 2016 SM - 978-1-5090-1869-7 T1 - Performance analysis of a hybrid fingerprint extracted from optical coherence tomography fingertip scans TI - Performance analysis of a hybrid fingerprint extracted from optical coherence tomography fingertip scans UR - http://hdl.handle.net/10204/9360 ER - en_ZA


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