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
Iris Pupil Detection by Structure Tensor Analysis
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-1400-346X
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-4929-1262
2011 (English)Conference paper, Published paper (Other academic)
Abstract [en]

This paper present a pupil detection/segmentation algorithm for iris images based on Structure Tensor analysis. Eigenvalues of the structure tensor matrix have been observed to be high in pupil boundaries and specular reflections of iris images. We exploit this fact to detect the specular reflections region and the boundary of the pupil in a sequential manner. Experimental results are given using the CASIA-IrisV3-Interval database (249 contributors, 396 different eyes, 2,639 iris images). Results show that our algorithm works specially well in detecting the specular reflections (98.98% success rate) and pupil boundary detection is correctly done in 84.24% of the images.

Place, publisher, year, edition, pages
Halmstad: Halmstad University , 2011. 1-4 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-14946OAI: oai:DiVA.org:hh-14946DiVA: diva2:408372
Conference
SSBA Symposium 2011 (SSBA2011), 17-18 mars, Linköping, Sweden
Available from: 2011-04-04 Created: 2011-04-04 Last updated: 2017-09-27Bibliographically approved

Open Access in DiVA

fulltext(554 kB)