Table 4.
Assessment of feature extraction methods with the proposed classifier.
| Method | Accuracy (%) | Precision (%) | Recall (%) | F-1 score (%) |
|---|---|---|---|---|
| GoogleNet | 97.01 | 97.24 | 96.34 | 96.79 |
| AlexNet | 97.55 | 96.12 | 96.89 | 96.50 |
| ResNet-50 | 97.26 | 96.67 | 96.78 | 96.72 |
| Inception Net | 96.89 | 97.02 | 96.51 | 96.76 |
| VGG-16 | 98.52 | 97.59 | 97.22 | 96.90 |