Iris image segmentation and sub-optimal images

Authors:
James R. Matey;Randy Broussard;Lauren Kennell
Affiliations:
Center for Biometric Signal Processing, ECE Department, Maury Hall, MS 14B, US Naval Academy, Annapolis, MD 21402-5025, USA;Center for Biometric Signal Processing, ECE Department, Maury Hall, MS 14B, US Naval Academy, Annapolis, MD 21402-5025, USA;Johns Hopkins Applied Physics Laboratory, MS 24-W211, 11100 Johns Hopkins Road, Laurel, MD 20723-6099, USA
Venue:
Image and Vision Computing
Year:
2010

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Abstract

Iris recognition is well developed and works well for optimal or near-optimal iris images. Dealing with sub-optimal images remains a challenge. Resolution, wavelength, occlusion and gaze are among the most important factors for sub-optimal images. In this paper, we explore the sensitivity of matching to these factors through analysis and numerical simulation, with particular emphasis on the segmentation portion of the processing chain.