High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image understanding for iris biometrics: A survey
Computer Vision and Image Understanding
FRVT 2006 and ICE 2006 Large-Scale Experimental Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Noisy iris image matching by using multiple cues
Pattern Recognition Letters
Adaboost and multi-orientation 2D Gabor-based noisy iris recognition
Pattern Recognition Letters
A fusion approach to unconstrained iris recognition
Pattern Recognition Letters
New iris recognition method for noisy iris images
Pattern Recognition Letters
Noisy Iris Recognition Integrated Scheme
Pattern Recognition Letters
Weighted co-occurrence phase histogram for iris recognition
Pattern Recognition Letters
Iris recognition in non-ideal imaging conditions
Pattern Recognition Letters
A reliable iris recognition algorithm based on reverse biorthogonal wavelet transform
Pattern Recognition Letters
New Methods in Iris Recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems for Video Technology
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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.