Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Near-infrared and visible-light periocular recognition with Gabor features using frequency-adaptive automatic eye detection
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.ORCID iD: 0000-0002-4929-1262
2015 (English)In: IET Biometrics, ISSN 2047-4938, E-ISSN 2047-4946, Vol. 4, no 2, 74-89 p.Article in journal (Refereed) Published
Abstract [en]

Periocular recognition has gained attention recently due to demands of increased robustness of face or iris in less controlled scenarios. We present a new system for eye detection based on complex symmetry filters, which has the advantage of not needing training. Also, separability of the filters allows faster detection via one-dimensional convolutions. This system is used as input to a periocular algorithm based on retinotopic sampling grids and Gabor spectrum decomposition. The evaluation framework is composed of six databases acquired both with near-infrared and visible sensors. The experimental setup is complemented with four iris matchers, used for fusion experiments. The eye detection system presented shows very high accuracy with near-infrared data, and a reasonable good accuracy with one visible database. Regarding the periocular system, it exhibits great robustness to small errors in locating the eye centre, as well as to scale changes of the input image. The density of the sampling grid can also be reduced without sacrificing accuracy. Lastly, despite the poorer performance of the iris matchers with visible data, fusion with the periocular system can provide an improvement of more than 20%. The six databases used have been manually annotated, with the annotation made publicly available. © The Institution of Engineering and Technology 2015.

Place, publisher, year, edition, pages
Stevenage: Institution of Engineering and Technology, 2015. Vol. 4, no 2, 74-89 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-29054DOI: 10.1049/iet-bmt.2014.0038ISI: 000355256000005Scopus ID: 2-s2.0-84930350194OAI: oai:DiVA.org:hh-29054DiVA: diva2:843044
Projects
EU BBfor2 Marie Curie Initial Training Network "Bayesian Biometrics for Forensics"EU COST Action IC1106 "Integrating Biometrics and Forensics for the Digital Age"
Funder
Swedish Research CouncilEU, FP7, Seventh Framework ProgrammeKnowledge Foundation
Note

F. A.-F. thanks the Swedish Research Council and the EU for funding his postdoctoral research. The authors acknowledge the CAISR programme of the Swedish Knowledge Foundation, the EU BBfor2 project and the EU COST Action IC1106.

Available from: 2015-07-24 Created: 2015-07-24 Last updated: 2017-12-04Bibliographically approved

Open Access in DiVA

fulltext(2739 kB)168 downloads
File information
File name FULLTEXT02.pdfFile size 2739 kBChecksum SHA-512
7facef7b8c5e263e466b0b4ff5e1c7661c871fed6d895759ff9696f2360dd710d62eb3677756fcd28357e5de5b012555fabfe09cb319f37513c4ecd271d0c38d
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Alonso-Fernandez, FernandoBigun, Josef
By organisation
CAISR - Center for Applied Intelligent Systems Research
In the same journal
IET Biometrics
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 168 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 318 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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