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Found 3 papers, 1 papers with code
Fitness-for-Duty Classification using Temporal Sequences of Iris Periocular images
Fitness for Duty (FFD) techniques detects whether a subject is Fit to perform their work safely, which means no reduced alertness condition and security, or if they are Unfit, which means alertness condition reduced by sleepiness or consumption of alcohol and drugs.
Artificial Pupil Dilation for Data Augmentation in Iris Semantic Segmentation
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.
Towards an efficient Iris Recognition System on Embedded Devices
Iris Recognition (IR) is one of the market's most reliable and accurate biometric systems.
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