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Cross-Eyed 2017: Cross-Spectral Iris/Periocular Recognition Competition
University of Reading, Reading, United Kingdom.
University of Reading, Reading, United Kingdom.
University of Reading, Reading, United Kingdom.
Tecan Austria GmbH, Grödig, Austria.
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2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This work presents the 2nd Cross-Spectrum Iris/Periocular Recognition Competition (Cross-Eyed2017). The main goal of the competition is to promote and evaluate advances in cross-spectrum iris and periocular recognition. This second edition registered an increase in the participation numbers ranging from academia to industry: five teams submitted twelve methods for the periocular task and five for the iris task. The benchmark dataset is an enlarged version of the dual-spectrum database containing both iris and periocular images synchronously captured from a distance and within a realistic indoor environment. The evaluation was performed on an undisclosed test-set. Methodology, tested algorithms, and obtained results are reported in this paper identifying the remaining challenges in path forward. © 2017 IEEE

Place, publisher, year, edition, pages
New York: IEEE, 2017. p. 725-732
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-34688DOI: 10.1109/BTAS.2017.8272762ISI: 000426973200088Scopus ID: 2-s2.0-85046282830ISBN: 978-1-5386-1124-1 (electronic)ISBN: 978-1-5386-1125-8 (print)OAI: oai:DiVA.org:hh-34688DiVA, id: diva2:1129963
Conference
IEEE/IAPR International Joint Conference on Biometrics, IJCB, Denver, Colorado, USA, October 1-4, 2017
Projects
SIDUS-AIRFastPassPROTECTHFACESWAN
Funder
Swedish Research Council, 2012-4313Knowledge Foundation, SIDUS-AIRKnowledge Foundation, CAISREU, FP7, Seventh Framework Programme, 284989 (BEAT)Available from: 2017-08-08 Created: 2017-08-08 Last updated: 2018-06-04Bibliographically approved

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fulltext(879 kB)13 downloads
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Alonso-Fernandez, FernandoBigun, Josef

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Alonso-Fernandez, FernandoBigun, Josef
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CAISR - Center for Applied Intelligent Systems Research
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Total: 13 downloads
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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