Iris Segmentation
14 papers with code • 3 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Iris Segmentation
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CASIA-Iris-Complex
UBIRIS.v2
Most implemented papers
KartalOl: Transfer learning using deep neural network for iris segmentation and localization: New dataset for iris segmentation
jalilnkh/kartalol-nir-isl2021031301
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Further, we have introduced a new dataset, called KartalOl, to better evaluate detectors in iris recognition scenarios.
Saliency-Guided Textured Contact Lens-Aware Iris Recognition
Iris recognition requires an adequate level of the iris texture being visible to perform a reliable matching.
Novel Deep Learning Framework For Bovine Iris Segmentation
Iris segmentation is the initial step to identify biometric of animals to establish a traceability system of livestock.
Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation
dpbenalcazar/ArtificialDilation
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2022 IEEE Sixth Ecuador Technical Chapters Meeting (ETCM) 2022
The results indicate that our data augmentation method can improve segmentation accuracy up to 15% for images with high pupil dilation, which creates a more reliable iris recognition pipeline, even under extreme dilation.
