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Localization of corresponding points in fingerprints by complex filtering
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4929-1262
2003 (English)In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 24, no 13, p. 2135-2144Article in journal (Refereed) Published
Abstract [en]

For the alignment of two fingerprints certain landmark points are needed. These should be automaticaly extracted with low misidentification rate. As landmarks we suggest the prominent symmetry points (singular points, SPs) in the fingerprints. We identify an SP by its symmetry properties. SPs are extracted from the complex orientation field estimated from the global structure of the fingerprint, i.e. the overall pattern of the ridges and valleys. Complex filters, applied to the orientation field in multiple resolution scales, are used to detect the symmetry and the type of symmetry. Experimental results are reported.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2003. Vol. 24, no 13, p. 2135-2144
Keywords [en]
Fingerprints, Symmetry point extraction, Complex filtering
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hh:diva-221DOI: 10.1016/S0167-8655(03)00083-7ISI: 000183925400005Scopus ID: 2-s2.0-0038343928Local ID: 2082/516OAI: oai:DiVA.org:hh-221DiVA, id: diva2:237399
Available from: 2006-11-24 Created: 2006-11-24 Last updated: 2018-03-23Bibliographically approved

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Nilsson, KennethBigun, Josef

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Halmstad Embedded and Intelligent Systems Research (EIS)CAISR - Center for Applied Intelligent Systems Research
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf