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Table 13 EER, FRR 1% , FRR 10% , AUC, HTER and Rank-1/5 identification rates of the quality-dependent approach using the different training sets for Protocol 2

From: MultiQ: single sensor-based multi-quality multi-modal large-scale biometric score database and its performance evaluation

Fusion rule

Training set

EER [%]

FRR 1% [%]

FRR 10% [%]

AUC [%]

HTER [%]

Rank-1 [%]

Rank-5 [%]

LLR (Q-stack)

Set 1

13.0

69.8

18.9

5.5

12.5

31.1

48.1

 

Set 2

13.0

73.9

19.3

5.7

14.6

29.1

45.8

 

Set 3

13.8

53.7

18.2

5.9

15.7

40.2

55.9

 

Set 4

15.8

50.6

21.8

7.3

19.2

41.7

56.7

 

Set 5

13.1

69.2

18.9

5.5

12.6

32.2

49.3

 

Set 6

13.3

74.3

19.7

5.8

13.5

30.0

47.0

 

Set 7

14.1

52.2

18.6

6.1

16.6

41.2

56.9

 

Set 8

16.2

49.3

22.4

7.7

20.3

42.3

57.5

 

Set 9

12.9

69.3

18.8

5.4

12.4

29.5

46.3

 

Set 10

13.0

73.6

19.0

5.7

14.0

27.5

43.6

 

Set 11

13.4

53.6

17.7

5.6

15.0

39.3

55.1

 

Set 12

15.2

50.9

20.8

6.9

18.0

41.1

56.2

  1. FRR 1% and FRR 10% are FRR at 1% FAR and FRR at 10% FAR respectively