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Table 3 A glance of the best D fs that produces the lowest EER in accordance with settings of experiment part III.

From: An effective biometric discretization approach to extract highly discriminative, informative, and privacy-protective binary representation

Feature Extraction/dataset

Discriminative measure (no. users)

D fs (Best EER (%))

FDA (D = 50)/FERET

LR (200)

10-15(12.60)

 

RL (200)

15-30(14.00)

 

DR (200)

12-20(14.60)

 

LR (60)

10-20(4.60)

 

RL (60)

12-20(4.90)

 

DR (60)

12-20(4.80)

ERE (D = 100)/FERET

LR (200)

20-40(2.00)

 

RL (200)

20-25(1.76)

 

DR (200)

20-50(2.45)

 

LR (60)

10(1.67)

 

RL (60)

20(1.68)

 

DR (60)

20(1.82)

FDA (D = 50)/FRGC

LR (150)

12(23.05)

 

RL (150)

12(21.97)

 

DR (150)

15(22.40)

 

LR (75)

12(21.64)

 

RL (75)

12(21.12)

 

DR (75)

12(20.93)

ERE (D = 100)/FRGC

LR (150)

20-25(11.47)

 

RL (150)

15-25(11.35)

 

DR (150)

15-30(12.35)

 

LR (75)

20(9.56)

 

RL (75)

25(9.00)

 

DR (75)

20(10.63)