dc.contributor.author |
Khutlang, Rethabile
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|
dc.contributor.author |
Khanyile, Nontokozo P
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|
dc.contributor.author |
Makinana, Sisanda
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dc.contributor.author |
Nelwamondo, Fulufhelo V
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|
dc.date.accessioned |
2017-06-07T07:02:29Z |
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dc.date.available |
2017-06-07T07:02:29Z |
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dc.date.issued |
2016-05 |
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dc.identifier.citation |
Khutland, R., Khanyile, N.P., Makinana, S. et al. 2016. High resolution feature extraction from optical coherence tomography acquired internal fingerprint. 2016 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 30 May - 01 Jun 2016, Shanghai, p. 637-642. DOI: 10.1109/SNPD.2016.7515971 |
en_US |
dc.identifier.isbn |
978-1-5090-0804-9 |
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dc.identifier.uri |
DOI: 10.1109/SNPD.2016.7515971
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dc.identifier.uri |
http://ieeexplore.ieee.org/document/7515971/
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|
dc.identifier.uri |
http://hdl.handle.net/10204/9132
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|
dc.description |
Copyright: 2016 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract version of the full text item. For access to the full text item, please consult the publisher's website. |
en_US |
dc.description.abstract |
Biometric fingerprint scanners scan the external skin features onto a 2D image. The performance of the automatic fingerprint identification system suffers if the finger skin is wet, worn out, fake fingerprint is used et cetera. Swept source optical coherence tomography (OCT) can be used to scan the internal skin features, up to the depth of the papillary layer. OCT is contactless and scans in three dimensions. The papillary contour represents an internal fingerprint, which does not suffer external skin problems. In this paper, we present a feature extraction method that extracts features at high resolution from the internal fingerprint. First curvature of an internal fingerprint cross-section is removed by fitting a third order polynomial and shifting each column in depth by the value of the fitted curve. A 2D image of the internal fingerprint is formed by concatenating the individual cross-sections, averaged across the papillary contour. The internal fingerprint image is then enhanced and features are extracted at high resolution. We have evaluated performance of feature extraction by matching extracted minutiae to those extracted manually. Matching accuracy shows that features can be extracted at high resolution from an OCT internal fingerprint. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Worklist;18304 |
|
dc.subject |
Biometric fingerprint scanners |
en_US |
dc.subject |
Information security |
en_US |
dc.subject |
Optical coherence tomography |
en_US |
dc.subject |
OCT |
en_US |
dc.subject |
OCT internal fingerprints |
en_US |
dc.title |
High resolution feature extraction from optical coherence tomography acquired internal fingerprint |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Khutlang, R., Khanyile, N. P., Makinana, S., & Nelwamondo, F. V. (2016). High resolution feature extraction from optical coherence tomography acquired internal fingerprint. IEEE. http://hdl.handle.net/10204/9132 |
en_ZA |
dc.identifier.chicagocitation |
Khutlang, Rethabile, Nontokozo P Khanyile, Sisanda Makinana, and Fulufhelo V Nelwamondo. "High resolution feature extraction from optical coherence tomography acquired internal fingerprint." (2016): http://hdl.handle.net/10204/9132 |
en_ZA |
dc.identifier.vancouvercitation |
Khutlang R, Khanyile NP, Makinana S, Nelwamondo FV, High resolution feature extraction from optical coherence tomography acquired internal fingerprint; IEEE; 2016. http://hdl.handle.net/10204/9132 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Khutlang, Rethabile
AU - Khanyile, Nontokozo P
AU - Makinana, Sisanda
AU - Nelwamondo, Fulufhelo V
AB - Biometric fingerprint scanners scan the external skin features onto a 2D image. The performance of the automatic fingerprint identification system suffers if the finger skin is wet, worn out, fake fingerprint is used et cetera. Swept source optical coherence tomography (OCT) can be used to scan the internal skin features, up to the depth of the papillary layer. OCT is contactless and scans in three dimensions. The papillary contour represents an internal fingerprint, which does not suffer external skin problems. In this paper, we present a feature extraction method that extracts features at high resolution from the internal fingerprint. First curvature of an internal fingerprint cross-section is removed by fitting a third order polynomial and shifting each column in depth by the value of the fitted curve. A 2D image of the internal fingerprint is formed by concatenating the individual cross-sections, averaged across the papillary contour. The internal fingerprint image is then enhanced and features are extracted at high resolution. We have evaluated performance of feature extraction by matching extracted minutiae to those extracted manually. Matching accuracy shows that features can be extracted at high resolution from an OCT internal fingerprint.
DA - 2016-05
DB - ResearchSpace
DP - CSIR
KW - Biometric fingerprint scanners
KW - Information security
KW - Optical coherence tomography
KW - OCT
KW - OCT internal fingerprints
LK - https://researchspace.csir.co.za
PY - 2016
SM - 978-1-5090-0804-9
T1 - High resolution feature extraction from optical coherence tomography acquired internal fingerprint
TI - High resolution feature extraction from optical coherence tomography acquired internal fingerprint
UR - http://hdl.handle.net/10204/9132
ER -
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en_ZA |