Abstract
The second phase of the Noisy Iris Challenge Evaluation attracted participation by 67 research groups from around the world. In contrast to all current commercial Iris biometrics technology, the NICE competitions focus on performing Iris biometrics on visible-light images. Whereas NICE.I focused on segmentation, NICE.II focused on performance in feature extraction and matching. The eight top-performing algorithms from NICE.II are considered, and suggestions are made for lessons that can be drawn from the results.
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