Browse State-of-the-Art › Cross-Domain Iris Presentation Attack Detection
Cross-Domain Iris Presentation Attack Detection
3 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
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Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
3 shown of 3 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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18 Nov 2018 2 repositories listed2, 900 iris image pairs acquired from approx.
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10 Dec 2024 1 repository listedIris-based biometric systems are vulnerable to presentation attacks (PAs), where adversaries present physical artifacts (e.
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25 Nov 2018 1 repository listedThe adoption of large-scale iris recognition systems around the world has brought to light the importance of detecting presentation attack images (textured contact lenses and printouts).
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