Table 5.
Recognition Performance.
| Model | BP | SVM | VGG-16 | GoogLeNet | ResNet-34 | DenseNet-169 | UnitedModel | AFGDC | DICNN |
|---|---|---|---|---|---|---|---|---|---|
| Accuracy | 65.93% | 67.82% | 88.96% | 94.25% | 94.67% | 94.89% | 96.58% | 92.33% | 97.22% |
Recognition Performance.
| Model | BP | SVM | VGG-16 | GoogLeNet | ResNet-34 | DenseNet-169 | UnitedModel | AFGDC | DICNN |
|---|---|---|---|---|---|---|---|---|---|
| Accuracy | 65.93% | 67.82% | 88.96% | 94.25% | 94.67% | 94.89% | 96.58% | 92.33% | 97.22% |