Figure 1:
Sample fingerprints of Clarkson2015 dataset1.
Figure 2:
Sample fingerprints of Clarkson2015 dataset2.
Figure 3:
Sample fingerprints of Clarkson2015 dataset3.
Figure 4:
Workflow of proposed method.
Figure 5:
Performance of the models on Clarkson LivDet2015 Dataset1.
Figure 6:
ROC curve for Clarkson LivDet2015 Dataset1.
Figure 7:
Precision–Recall curve for Clarkson LivDet2015 Dataset1.
Figure 8:
Performance of the models on Clarkson LivDet2015 fingerprint Dataset2.
Figure 9:
ROC curve for Clarkson LivDet2015 fingerprint Dataset2.
Figure 10:
Precision–Recall curve for Clarkson LivDet2015 fingerprint Dataset2.
Figure 11:
Performance of the models on Clarkson LivDet2015 fingerprint Dataset3.
Figure 12:
ROC curve for Clarkson LivDet2015 fingerprint Dataset3.
Figure 13:
Precision–Recall curve for Clarkson LivDet2015 fingerprint Dataset3.
Figure 14:
Performance comparison of models with the datasets.
Table 1:
Performance on Clarkson LivDet2015 fingerprint Dataset1
| Model/parameters | F1-Score | Precision | Recall | BPCER | APCER | Accuracy |
|---|---|---|---|---|---|---|
| RF | 0.88879 | 0.79903 | 0.98600 | 0.99600 | 0.00100 | 0.80000 |
| XGBOOST | 0.88272 | 0.79903 | 0.98600 | 0.99200 | 0.01400 | 0.79040 |
| CATBOOST | 0.88830 | 0.80032 | 0.99800 | 0.99600 | 0.00200 | 0.79920 |
| HV Method | 0.88928 | 0.80064 | 1.00000 | 0.99600 | 0.00000 | 0.81080 |
Table 2:
Model performance on Clarkson LivDet2015 fingerprint Dataset2
| Model/parameters | F1-Score | Precision | Recall | BPCER | APCER | Accuracy |
|---|---|---|---|---|---|---|
| RF | 0.90298 | 0.86876 | 0.94000 | 0.71000 | 0.06000 | 0.83167 |
| XGBOOST | 0.90542 | 0.87214 | 0.94133 | 0.69000 | 0.05867 | 0.83611 |
| CATBOOST | 0.90684 | 0.86413 | 0.95400 | 0.75000 | 0.04600 | 0.83667 |
| HV Method | 0.90967 | 0.86707 | 0.95667 | 0.73333 | 0.04333 | 0.84167 |
Table 3:
Model performance on Clarkson LivDet2015 fingerprint dataset3
| Model/parameters | F1-score | Precision | Recall | BPCER | APCER | Accuracy |
|---|---|---|---|---|---|---|
| RF | 0.94203 | 0.91121 | 0.97500 | 0.38000 | 0.02500 | 0.90400 |
| XGBOOST | 0.93417 | 0.90525 | 0.96500 | 0.40400 | 0.03500 | 0.89120 |
| CATBOOST | 0.92366 | 0.87827 | 0.97400 | 0.54000 | 0.02600 | 0.87120 |
| HV Method | 0.95488 | 0.94690 | 0.96300 | 0.21600 | 0.03700 | 0.92720 |