Research Article
CNN-Based Transfer Learning for 3D Knuckle Recognition
Table 2
Results for pretrained models in one holdout run. Bold means these three models have the highest accuracy.
| Models | Sensitivity | Recall | Precession | F1 score |
| DenseNet201 | 92.59 | 92.59 | 94.56 | 92.51 | Xception | 97.35 | 97.35 | 97.80 | 97.26 | InceptionV3 | 99.07 | 99.07 | 99.18 | 99.07 | NASNetMobile | 92.92 | 92.92 | 94.44 | 92.22 | ResNet50 | 91.80 | 91.80 | 92.44 | 90.61 | VGG16 | 7.34 | 7.34 | 10.90 | 4.60 | AlexNet | 73.54 | 73.54 | 80.74 | 73.19 |
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