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Phase correlation based iris image registration model

  • Jun Zhou Huang*
  • , Tie Niu Tan
  • , Li Ma
  • , Yun Hong Wang
  • *Corresponding author for this work
  • CAS - Institute of Automation

Research output: Contribution to journalArticlepeer-review

Abstract

Iris recognition is one of the most reliable personal identification methods. In iris recognition systems, image registration is an important component. Accurately registering iris images leads to higher recognition rate for an iris recognition system. This paper proposes a phase correlation based method for iris image registration with sub-pixel accuracy. Compared with existing methods, it is insensitive to image intensity and can compensate to a certain extent the non-linear iris deformation caused by pupil movement. Experimental results show that the proposed algorithm has an encouraging performance.

Original languageEnglish
Pages (from-to)419-425
Number of pages7
JournalJournal of Computer Science and Technology
Volume20
Issue number3
DOIs
StatePublished - May 2005

Keywords

  • Biometrics
  • Image registration
  • Iris recognition
  • Phase correlation

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