ImmerIris provides the largest public iris dataset for immersive applications and demonstrates that a simple normalization-free learning paradigm outperforms traditional normalization-based methods on off-axis ocular images.
Toward accurate and fast iris segmentation for iris biomet- rics.IEEE transactions on pattern analysis and machine in- telligence, 31(9):1670–1684, 2008
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ImmerIris: A Large-Scale Dataset and Benchmark for Off-Axis and Unconstrained Iris Recognition in Immersive Applications
ImmerIris provides the largest public iris dataset for immersive applications and demonstrates that a simple normalization-free learning paradigm outperforms traditional normalization-based methods on off-axis ocular images.