dc.contributor.author |
Darlow, Luke N
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dc.contributor.author |
Connan, J
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dc.contributor.author |
Singh, Ann
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dc.date.accessioned |
2017-07-28T09:04:12Z |
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dc.date.available |
2017-07-28T09:04:12Z |
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dc.date.issued |
2016-06 |
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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 |
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dc.identifier.uri |
DOI: 10.1109/ICB.2016.7550045
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dc.identifier.uri |
http://ieeexplore.ieee.org/document/7550045/
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dc.identifier.uri |
http://hdl.handle.net/10204/9360
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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 -
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en_ZA |