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Table 1 Quality parameters used for predicting segmentation accuracy

From: Quality-based iris segmentation-level fusion

No Par. Description Indicative property
1 p x Pupil centre x-coordinate Close to image centre
2 p y Pupil centre y-coordinate Close to centre
3 p r Pupil radius Sensor-specific distribution (illumination)
4 l x Iris centre x-coordinate Close to centre
5 l y Iris centre y-coordinate Close to centre
6 l r Iris radius System-specific distribution (focus-distance)
7 a I Iris area System/sensor-specific distribution
8 c P Pupillary contrast Usually higher for accurate segmentation
9 c L Limbic contrast Usually higher for accurate segmentation
10 μ Mean iris intensity Difficulty of segmentation (eye colour)
11 σ Iris intensity standard deviation In-focus assessment (texture)