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Best Regions for Periocular Recognition with NIR and Visible Images
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-1400-346X
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
2014 (English)In: 2014 IEEE International Conference on Image Processing (ICIP), Piscataway, NJ: IEEE Press, 2014, 4987-4991 p.Conference paper, Published paper (Refereed)
Abstract [en]

We evaluate the most useful regions for periocular recognition. For this purpose, we employ our periocular algorithm based on retinotopic sampling grids and Gabor analysis of the spectrum. We use both NIR and visible iris images. The best regions are selected via Sequential Forward Floating Selection (SFFS). The iris neighborhood (including sclera and eyelashes) is found as the best region with NIR data, while the surrounding skin texture (which is over-illuminated in NIR images) is the most discriminative region in visible range. To the best of our knowledge, only one work in the literature has evaluated the influence of different regions in the performance of periocular recognition algorithms. Our results are in the same line, despite the use of completely different matchers. We also evaluate an iris texture matcher, providing fusion results with our periocular system as well. © 2014 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2014. 4987-4991 p.
Keyword [en]
Biometrics, periocular, eye, Gabor filters
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-25468DOI: 10.1109/ICIP.2014.7026010ISI: 000370063605031Scopus ID: 2-s2.0-84949926598ISBN: 978-1-4799-5751-4 (electronic)OAI: oai:DiVA.org:hh-25468DiVA: diva2:720821
Conference
IEEE International Conference on Image Processing, ICIP, Paris, France, 27-30 October, 2014
Projects
BBfor2
Funder
Swedish Research Council, 2012-4313
Note

Article number: 7026010

Available from: 2014-06-02 Created: 2014-06-02 Last updated: 2017-03-23Bibliographically approved

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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