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Table 8 Performance comparison with 15 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

0.9012

0.8853

0.9225

0.0147

1.0580

0

Gaussian

0.8659

0.8327

0.9066

0.0256

0.9668

0

Poisson

0.8876

0.8684

0.9118

0.0221

1.0099

0

Salt & pepper

0.8374

0.8134

0.8848

0.0269

0.9867

3

0.8898

0.9073

0.8792

0.0139

1.0714

3

Gaussian

0.8680

0.8538

0.8885

0.0189

0.9406

3

Poisson

0.8859

0.9000

0.8784

0.0162

0.9536

3

Salt & pepper

0.8291

0.8248

0.8549

0.0215

0.9471

6

0.7200

0.7815

0.6912

0.0316

0.9543

6

Gaussian

0.7382

0.7514

0.7373

0.0342

0.8789

6

Poisson

0.7114

0.7701

0.6839

0.0289

0.8600

6

Salt & pepper

0.6773

0.7099

0.6859

0.0405

0.8817

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