hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
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
Local feature extraction in fingerprints by complex filtering
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2005 (English)In: Advances in Biometric Person Authentication International Wokshop on Biometric Recognition Systems, IWBRS 2005, Beijing, China, October 22-23, 2005. Proceedings / [ed] Stan Z. Li, Zhenan Sun, Tieniu Tan, Sharath Pankanti, Gérard Chollet and David Zhang, Berlin: Springer Berlin/Heidelberg, 2005, p. 77-84Conference paper, Published paper (Refereed)
Abstract [en]

A set of local feature descriptors for fingerprints is proposed. Minutia points are detected in a novel way by complex filtering of the structure tensor, not only revealing their position but also their direction. Parabolic and linear symmetry descriptions are used to model and extract local features including ridge orientation and reliability, which can be reused in several stages of fingerprint processing. Experimental results on the proposed technique are presented.

Place, publisher, year, edition, pages
Berlin: Springer Berlin/Heidelberg, 2005. p. 77-84
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 3781
Keywords [en]
Edge detection, Mathematical models, Reliability theory, Signal filtering and prediction, Tensors
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-14926DOI: 10.1007/11569947_10ISI: 000233430300010Scopus ID: 2-s2.0-33646735768ISBN: 978-3-540-29431-3 ISBN: 3-540-29431-7 OAI: oai:DiVA.org:hh-14926DiVA, id: diva2:408393
Conference
International Workshop on Biometric Recognition Systems – IWBRS, Beijing, Oct. 22–23, 2005
Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2018-03-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopusFulltext available via Author´s homepage

Authority records BETA

Fronthaler, HartwigKollreider, KlausBigun, Josef

Search in DiVA

By author/editor
Fronthaler, HartwigKollreider, KlausBigun, Josef
By organisation
Halmstad Embedded and Intelligent Systems Research (EIS)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 121 hits
CiteExportLink to record
Permanent link

Direct link
Cite
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