hh.sePublications
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
Biometric Recognition Using Periocular 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.ORCID iD: 0000-0002-4929-1262
2013 (English)Conference paper, Published paper (Other academic)
Abstract [en]

We present a new system for biometric recognition using periocular images based on retinotopic sampling grids and Gabor analysis of the local power spectrum at different frequencies and orientations. A number of aspects are studied, including: 1) grid adaptation to dimensions of the target eye vs. grids of constant size, 2) comparison between circular- and rectangular-shaped grids, 3) use of Gabor magnitude vs. phase vectors for recognition, and 4) rotation compensation between query and test images. Results show that our system achieves competitive verification rates compared with other periocular recognition approaches. We also show that top verification rates can be obtained without rotation compensation, thus allowing to remove this step for computational efficiency. Also, the performance is not affected substantially if we use a grid of fixed dimensions, or it is even better in certain situations, avoiding the need of accurate detection of the iris region.

Place, publisher, year, edition, pages
2013.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-21552OAI: oai:DiVA.org:hh-21552DiVA, id: diva2:607423
Conference
Swedish Symposium on Image Analysis 2013 (SSBA 2013), Gothenburg, Sweden, 14-15 March, 2013
Projects
BBfor2
Funder
EU, FP7, Seventh Framework Programme, 254261Swedish Research Council, 2009-7215Knowledge FoundationAvailable from: 2013-02-22 Created: 2013-02-22 Last updated: 2018-03-22Bibliographically approved

Open Access in DiVA

fulltext(658 kB)362 downloads
File information
File name FULLTEXT01.pdfFile size 658 kBChecksum SHA-512
2ff32be9f1fe37dc92ec5bb81a9990bf52ba3ebeef179538ec049f286e158b88dc773bcd7a631231c30def4665f4aed769f6d33033cc1f6c821a33620075104c
Type fulltextMimetype application/pdf

Authority records

Alonso-Fernandez, FernandoBigun, Josef

Search in DiVA

By author/editor
Alonso-Fernandez, FernandoBigun, Josef
By organisation
CAISR - Center for Applied Intelligent Systems Research
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 362 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

urn-nbn

Altmetric score

urn-nbn
Total: 900 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