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.
A deep learning based uni- fied framework to detect, segment and recognize irises using spatially corresponding features.Pattern Recognition, 93: 546–557, 2019
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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.