Presentation Attack Detection on Iris PAD
96.2AUCAutoencoder
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| AutoencoderSaliency Type=Autoencoder [13], Architecture=DenseNet2026.06 | 96.2 | — | — | — | |
| LDA SaliencySaliency Type=LDA, Architecture=DenseNet2026.06 | 91.1 | 82.4 | 10.2 | 27.5 | |
| NoneSaliency Type=None, Architecture=DenseNet2026.06 | 89.6 | 81.4 | 15.1 | 23.4 | |
| Fisherface SaliencySaliency Type=Fisherface, Architecture=ResNet2026.06 | 89.6 | 80.9 | 10.8 | 30.1 | |
| Eigenface Minus % Fidelity SaliencySaliency Type=Eigenface M-0.2, Architecture=ResNet2026.06 | 88.7 | 80.3 | 14 | 27.3 | |
| Eigenface SaliencySaliency Type=Eigenface, Architecture=Inception2026.06 | 87.2 | 78.4 | 11.7 | 34.8 |