Iris image segmentation and sub-optimal images |
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| Authors: | James R Matey Randy Broussard Lauren Kennell |
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| Affiliation: | 1. Center for Biometric Signal Processing, ECE Department, Maury Hall, MS 14B, US Naval Academy, Annapolis, MD 21402-5025, USA;2. Johns Hopkins Applied Physics Laboratory, MS 24-W211, 11100 Johns Hopkins Road, Laurel, MD 20723-6099, USA |
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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. |
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| Keywords: | Biometric Iris recognition Iris segmentation |
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