Table 3 Performance of the proposed method on IIT Delhi palmprint database
From: Texture based features for robust palmprint recognition: a comparative study
IIT Delhi DB | Methods | EER (%) |
|---|---|---|
90 % confidence interval | ||
Proposed scheme | 0.12 [0.05;0.19] | |
BSIF-SRC [35] | 0.42 [0.32;0.52] | |
Gabor-SRC [38] | 1.23 [0.93; 1.53] | |
Ordinal code [26] | 0.20 [0.15; 0.25] | |
Left hand | Gabor-KDA [13] | 2.34 [1.54; 3.14] |
Palmcode [25] | 2.67 [1.97; 9.37] | |
Fusion code [27] | 2.34 [1.54; 3.14] | |
LBP-SRC [24] | 10.41 [8.81;12.10] | |
Proposed scheme | 0.72 [0.32; 1.12] | |
BSIF-SRC [35] | 1.31 [0.91; 1.71] | |
Gabor-SRC [38] | 1.42 [1.02; 1.82] | |
Ordinal code [26] | 1.89 [1.59; 2.19] | |
Gabor-KDA [13] | 7.82 [6.42; 9.22] | |
Right hand | Palmcode[25] | 3.41 [2.91; 3.91] |
Fusion code [27] | 3.39 [2.89; 3.89] | |
LBP-SRC [24] | 13.38 [11.49; 15.28] |