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Table 5 Test set segmentation errors (comparison with ground truth) for individual algorithms (diagonal) versus pairwise quality-based segmentation fusion

From: Quality-based iris segmentation-level fusion

 

(a) CASIA v4 interval database

(b) IIT Delhi database

Average E 1 [%]

CAHT

IFPP

OSIRIS

WAHET

CAHT

IFPP

OSIRIS

WAHET

CAHT

2.47

2.56

2.46

2.33

2.95

2.88

2.73

2.80

IFPP

 

5.75

3.67

3.08

 

4.98

3.62

3.41

OSIRIS

  

5.27

3.01

  

5.69

3.10

WAHET

   

3.45

   

5.95

Average E 2 [%]

        

CAHT

3.75

3.87

3.75

3.55

4.28

3.82

3.61

3.74

IFPP

 

10.09

5.58

4.65

 

6.37

4.77

4.49

OSIRIS

  

8.20

4.59

  

7.48

4.11

WAHET

   

5.20

   

7.85

Outlier count (E 1>10%)

        

CAHT

10

10

9

6

10

6

4

9

IFPP

 

131

30

11

 

57

21

24

OSIRIS

  

78

19

  

108

19

WAHET

   

38

   

105

  1. Results where the fused result improves over both individual methods are given in bold, fused results improving over one of the individual methods are given in italics