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Iris recognition using standard cameras
Linköping University, Department of Electrical Engineering.
2006 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This master thesis evaluates the use of off-the-shelf standard cameras for biometric identification of the human iris. As demands on secure identification are constantly rising and as the human iris provides with a pattern that is excellent for identification, the use of inexpensive equipment could help iris recognition become a new standard in security systems. To test the performance of such a system a review of the current state of the research in the area was done and the most promising methods were chosen for evaluation. A test environment based on open source code was constructed to measure the performance of iris recognition methods, image quality and recognition rate.

In this paper the image quality of a database consisting of images from a standard camera is assessed, the most important problem areas identified, and the overall recognition performance measured. Iris recognition methods found in literature are tested on this class of images. These together with newly developed methods show that a system using standard equipment can be constructed. Tests show that the performance of such a system is promising.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2006. , 48 p.
Keyword [en]
iris recognition, biometric identification, image processing, computer vision
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-8675ISRN: LITH-ISY-EX--06/3825--SEOAI: oai:DiVA.org:liu-8675DiVA: diva2:23399
Presentation
2006-09-18, Systemet, B-Huset, Linköping University, 13:00 (English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2007-04-12 Created: 2007-04-12 Last updated: 2009-10-08Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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