Hamming Distance and Metadata for Pairings (Genuine and Imposter) of Irises with Varying Pupil Dilation and Eyelid Manipulation

This dataset contains six curated subset CSV files, developed to study how pupil dilation and eyelid state influence iris recognition performance. Each CSV represents a specific experimental pairing condition, spanning neutral, squint, dilated, and undilated states, and includes quantitative metrics for both ocular geometry and biometric similarity.