A new approach to iris pattern recognition

Yingzi Du, Robert Ives, Delores Etter, Thad Welch

Research output: Contribution to journalConference articlepeer-review

23 Scopus citations

Abstract

An iris identification algorithm is proposed based on adaptive thresholding. The iris images are processed fully in the spatial domain using the distinct features (patterns) of the iris. A simple adaptive thresholding method is used to segment these patterns from the rest of an iris image. This method could possibly be utilized for partial iris recognition since it relaxes the requirement of using a majority of the iris to produce an iris template to compare with the database. In addition, the simple thresholding scheme can improve the computational efficiency of the algorithm. Preliminary results have shown that the method is very effective. However, further testing and improvements are envisioned.

Original languageEnglish
Article number15
Pages (from-to)104-116
Number of pages13
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5612
DOIs
StatePublished - 2004
EventElectro-Optical and Infrared Systems: Technology and Applications - London, United Kingdom
Duration: 25 Oct 200427 Oct 2004

Keywords

  • Adaptive thresholding
  • Iris Identification
  • Iris pattern

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