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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)