Research Article
Finger-Vein Recognition Using Bidirectional Feature Extraction and Transfer Learning
Table 4
The recognition accuracy of unidirectional model with different pretrained networks.
| Database | Network | Accuracy (%) |
| A FV-USM | VGG19 | 96.33 | ResNet50 | 98.33 |
| B FV-USM | VGG19 | 96.00 | ResNet50 | 98.66 |
| A FV-SIPL | VGG19 | 99.00 | ResNet50 | 99.07 |
| B FV-SIPL | VGG19 | 98.15 | ResNet50 | 99.07 |
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