Multi-image Enrollment

Dilation Aware Multi-image Enrollment for Iris Biometrics.

This system smartly enrolls multiple iris images per subject and outperforms systems which have randomly enrolled iris images.

 

Company Name

University of Notre Dame

Reference Number 1264

Market Sectors:

Computer Sciences

Operational Areas

Operations, Patient Healthcare
 

Commercial Solutions

Increase Efficiency
 

Speed to Market

Immediate
 

Description:

Background:

The diameter of a pupil will vary according to environmental and individual factors. Not accounting for these common occurrences can lead to an unnecessarily high degree of false non-matches.

Technology

A quantile methodology is used to enroll iris images for subject identification and matching.  This system smartly enrolls multiple iris images per subject and outperforms systems which have randomly enrolled iris images.

Pupil dilation of an interrogated image can affect the resulting texture of the iris.  The same iris in different states of dilation may not sufficiently match any of  the enrolled images.  In order to cover the range of textures an eye may have, the enrolled images are selected based on their measured amounts of dilation.  The number of enrolled images will depend on the system, but those images that are chosen will minimize the difference in dilated to a scanned iris. 

Advantages:

  • Lowers the rate of false non-matches.
  • Enrolled images account for differences in the iris texture.
  • Allows for tighter requirements on a match due to the higher confidences that dilation will not affect the analysis.

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