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Table 7 Performance comparison with 5 degrees of rotation for each test carried out to assess the robustness

From: A hybrid method for accurate iris segmentation on at-a-distance visible-wavelength images

Blur

Noise

Dice

Precision

Recall

Error

Exec. time

0

0.9158

0.8993

0.9373

0.0109

1.0430

0

Gaussian

0.8900

0.8561

0.9319

0.0148

0.8703

0

Poisson

0.9140

0.8946

0.9380

0.0114

0.8628

0

Salt & pepper

0.8729

0.8427

0.9216

0.0159

0.8611

3

0.8968

0.9147

0.8860

0.0128

0.9992

3

Gaussian

0.8822

0.8617

0.9095

0.0158

0.8508

3

Poisson

0.8968

0.9076

0.8920

0.0131

0.8700

3

Salt & pepper

0.8386

0.8280

0.8708

0.0189

0.8488

6

0.7877

0.8429

0.7570

0.0244

0.8686

6

Gaussian

0.8034

0.8075

0.8121

0.0253

0.7729

6

Poisson

0.8118

0.8547

0.7885

0.0219

0.8030

6

Salt & pepper

0.7490

0.7687

0.7693

0.0275

0.7686

  1. Segmentation evaluation and execution time (s) per image