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 more accurate iris recognition using dilated residual features.IEEE Transac- tions on Information Forensics and Security, 14(12):3233– 3245
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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.