Pan-tilt-zoom based iris image capturing system for unconstrained user environments at a distance

Sowon Yoon, Kwanghyuk Bae, Kang Ryoung Park, Jaihie Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper proposes a novel iris image capturing system using a pantilt-zoom camera for unconstrained user environments at a distance. To provide wide operating range, we are trying to develop iris image acquisition system using pan-tilt-zoom camera. This paper verifies that iris recognition is possible when iris images are captured with zoom lens at a distance from camera. Iris images are collected by changing the distance from camera to user, zoom factor to maintain face size in an image, and focus lens position. And they are assessed by Hamming distance. Experimental results show that iris images captured at a distance of 1.5-3 m from camera can be verified as genuine and proposed system has 5-10 cm depth of field. This means that users have freedom of position as 1.5 m and natural movement of a standing user can be covered.

Original languageEnglish
Title of host publicationAdvances in Biometrics - International Conference, ICB 2007, Proceedings
Pages653-662
Number of pages10
Publication statusPublished - 2007 Dec 1
Event2007 International Conference on Advances in Biometrics, ICB 2007 - Seoul, Korea, Republic of
Duration: 2007 Aug 272007 Aug 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4642 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2007 International Conference on Advances in Biometrics, ICB 2007
CountryKorea, Republic of
CitySeoul
Period07/8/2707/8/29

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yoon, S., Bae, K., Park, K. R., & Kim, J. (2007). Pan-tilt-zoom based iris image capturing system for unconstrained user environments at a distance. In Advances in Biometrics - International Conference, ICB 2007, Proceedings (pp. 653-662). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4642 LNCS).