Used Phase-Based Iris Identification for Windows?


Editors’ Review

Download.com staff
This software provides an efficient algorithm for iris recognition using phase-based image matching, offering an alternative to feature-vector based methods.
  • Pros

    • Efficient phase-based matching algorithm for iris recognition.
    • Addresses parameter variability in feature extraction.
    • Suitable for varying environmental acquisition factors.
  • Cons

    • This is the first release.
    • Feature vector methods can be complex.

Used Phase-Based Iris Identification for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
1
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 2000
  • Windows Vista
  • Windows XP
  • Windows ME
  • Windows 95
  • Windows 10
  • Windows NT
  • Windows 98
Additional Requirements
Windows 95/98/Me/NT/2000/XP/Vista, Matlab 6.5
POPULARITY
Total Downloads
379
Downloads Last Week
0

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Developer’s Description

Recognize iris images using phase-based matching.
A major approach for iris recognition today is to generate feature vectors corresponding to individual iris images and to perform iris matching based on some distance metrics. One of the difficult problems in feature-based iris recognition is that the matching performance is significantly influenced by many parameters in feature extraction process, which may vary depending on environmental factors of image acquisition. We present an efficient algorithm for iris recognition using phase-based image matching. This version is the first release on CNET Download.com.

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