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Table 11 EER, FRR 1% ,FRR 10% , AUC, HTER and Rank-1/5 identification rates of quality-independent and quality-dependent approaches 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 [%]

Sum

Q H H85

33.2

74.5

50.4

23.3

41.2

38.5

50.6

GMM

 

26.4

76.4

40.1

19.5

32.5

26.0

38.7

LLR

 

25.8

71.1

43.5

16.8

34.2

41.8

56.1

RankSVM

 

28.8

72.2

46.1

18.4

37.2

40.9

54.4

GMM (Q-stack)

Set 1

49.9

99.0

89.9

49.9

49.9

0.1

0.5

LLR (Q-stack)

 

13.0

69.8

18.9

5.5

12.5

31.1

48.1

RankSVM (Q-stack)

 

20.9

68.4

37.4

11.0

26.1

38.7

54.6

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