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Evaluating the change of directional patterns for fingerprints with missing singular points under rotation

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dc.contributor.author Dorasamy, Kribashnee
dc.contributor.author Webb-Ray, Leandra
dc.contributor.author Tapamo, J-R
dc.date.accessioned 2017-06-07T06:37:14Z
dc.date.available 2017-06-07T06:37:14Z
dc.date.issued 2016-12
dc.identifier.citation Dorasamy, K., Webb-Ray, L. and Tapamo, J-R. 2016. Evaluating the change of directional patterns for fingerprints with missing singular points under rotation. 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part II. In: Bebis G. et al. (eds) Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science, vol 10073, p. 555-565 en_US
dc.identifier.isbn 978-3-319-50831-3
dc.identifier.uri DOI: 10.1007/978-3-319-50832-0_54
dc.identifier.uri http://link.springer.com/chapter/10.1007/978-3-319-50832-0_54
dc.identifier.uri http://hdl.handle.net/10204/9120
dc.description Copyright: 2016 Springer. 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 website. en_US
dc.description.abstract Overcoming small inter-class variation when fingerprints have missing singular points (SPs) is one of the current challenges faced in fingerprint classification, since class information is scarce. Grouping the orientation fields to form Directional Patterns (DPs) shows potential in classifying these fingerprints. However, DPs change under rotation. This paper evaluates the change of DPs for fingerprints with missing SPs to determine a method of rotation that produces unique DPs for a Whorl (W) with a single loop and a single delta; a Right Loop (RL), Left Loop (LL), Tented Arch (TA) and a W with a single loop; a RL and LL with a single delta; and lastly a Plain Arch (PA) and a Partial Fingerprint (PF) with no SPs. The proposed method of rotation is based on the remaining SPs and achieves a manual classification accuracy of 91.72% on the FV C 2002 and 2004 DB1, and FV C 2004 DB2. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Worklist;18222
dc.subject Pattern recognition en_US
dc.subject Image processing en_US
dc.subject Computer graphics en_US
dc.subject Visual computing en_US
dc.subject Data security en_US
dc.subject Systems security en_US
dc.title Evaluating the change of directional patterns for fingerprints with missing singular points under rotation en_US
dc.type Book Chapter en_US
dc.identifier.apacitation Dorasamy, K., Webb-Ray, L., & Tapamo, J. (2016). Evaluating the change of directional patterns for fingerprints with missing singular points under rotation., <i>Worklist;18222</i> Springer. http://hdl.handle.net/10204/9120 en_ZA
dc.identifier.chicagocitation Dorasamy, Kribashnee, Leandra Webb-Ray, and J-R Tapamo. "Evaluating the change of directional patterns for fingerprints with missing singular points under rotation" In <i>WORKLIST;18222</i>, n.p.: Springer. 2016. http://hdl.handle.net/10204/9120. en_ZA
dc.identifier.vancouvercitation Dorasamy K, Webb-Ray L, Tapamo J. Evaluating the change of directional patterns for fingerprints with missing singular points under rotation.. Worklist;18222. [place unknown]: Springer; 2016. [cited yyyy month dd]. http://hdl.handle.net/10204/9120. en_ZA
dc.identifier.ris TY - Book Chapter AU - Dorasamy, Kribashnee AU - Webb-Ray, Leandra AU - Tapamo, J-R AB - Overcoming small inter-class variation when fingerprints have missing singular points (SPs) is one of the current challenges faced in fingerprint classification, since class information is scarce. Grouping the orientation fields to form Directional Patterns (DPs) shows potential in classifying these fingerprints. However, DPs change under rotation. This paper evaluates the change of DPs for fingerprints with missing SPs to determine a method of rotation that produces unique DPs for a Whorl (W) with a single loop and a single delta; a Right Loop (RL), Left Loop (LL), Tented Arch (TA) and a W with a single loop; a RL and LL with a single delta; and lastly a Plain Arch (PA) and a Partial Fingerprint (PF) with no SPs. The proposed method of rotation is based on the remaining SPs and achieves a manual classification accuracy of 91.72% on the FV C 2002 and 2004 DB1, and FV C 2004 DB2. DA - 2016-12 DB - ResearchSpace DP - CSIR KW - Pattern recognition KW - Image processing KW - Computer graphics KW - Visual computing KW - Data security KW - Systems security LK - https://researchspace.csir.co.za PY - 2016 SM - 978-3-319-50831-3 T1 - Evaluating the change of directional patterns for fingerprints with missing singular points under rotation TI - Evaluating the change of directional patterns for fingerprints with missing singular points under rotation UR - http://hdl.handle.net/10204/9120 ER - en_ZA


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