An effective approach for Iris recognition using phase-based image matching

Kazuyuki Miyazawa, Koichi Ito, Takafumi Aoki, Koji Kobayashi, Hiroshi Nakajima

Research output: Contribution to journalArticlepeer-review

214 Citations (Scopus)

Abstract

This paper presents an efficient algorithm for iris recognition using phase-based image matching - an image matching technique using phase components in 2D Discrete Fourier Transforms (DFTs) of given images. Experimental evaluation using CASIA iris image databases (ver. 1.0 and ver. 2.0) and Iris Challenge Evaluation (ICE) 2005 database clearly demonstrates that the use of phase components of iris images makes possible to achieve highly accurate iris recognition with a simple matching algorithm. This paper also discusses major implementation issues of our algorithm. In order to reduce the size of iris data and to prevent the visibility of iris images, we introduce the idea of 2D Fourier Phase Code (FPC) for representing iris information. 2D FPC is particularly useful for implementing compact iris recognition devices using state-of-the-art DSP (Digital Signal Processing) technology.

Original languageEnglish
Pages (from-to)1741-1756
Number of pages16
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume30
Issue number10
DOIs
Publication statusPublished - 2008 Jan 1

Keywords

  • Biometrics
  • Iris recognition
  • Phase-based image matching
  • Phase-only correlation
  • Phase-only matched filtering

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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