Mitigation of Contact Lens, Eye Surgery, Pupil Dilation, and other Challenges on Iris Recognition
Iris biometrics offers the potential for highly accurate identity verification. However, over 25 million people in the United States and
over 125 million people worldwide wear contact lenses, and it would be impractical to require users to remove their contact lenses for
recognition purposes. As a result, developing methods to measure and mitigate any degradation associated with contact lenses and
other atypical eye conditions has become increasingly important to the future of iris recognition technology.
In this DHS SBIR research project, we will study, analyze and mitigate the potential adverse effects of contact lenses, eye surgery,
and varying pupil dilation, template aging, and sensor interoperability, on iris recognition. We will collaborate with Clarkson University
to leverage their existing data collection efforts to examine potential performance variations of iris images with and without different
types of contact lenses, before and after surgery, or at varying pupil dilation. After data collection, we will conduct a detailed analysis
of the specific problems. If, as expected, significant performance differences are observed, image processing algorithms and machine
learning approaches will be developed to detect and mitigate instances in which matching performance appears to have been degraded.
Small Business Information at Submission:
Li Creative Technologies, Inc.
25 B Hanover Road, Suite 140 Florham Park, NJ 07932-1924
Number of Employees: