Research Article
Deep-Learning-Based Approach for Iraqi and Malaysian Vehicle License Plate Recognition
Table 14
Comparison between SVM, NN, and YOLOV2.
| | SVM | NN | YOLOV2 | Iraq | Malaysia | Iraq | Malaysia | Iraq | Malaysia |
| Data size | 404 | 681 | 404 | 681 | 404 | 681 | Features | HOG | HOG | HOG | HOG | NA | NA | Testing acc. | 82.76 | 88.70 | 79.30 | 88.58 | 85.56 | 88.86 | Training acc. | 87.22 | 91.92 | 92.80 | 99.05 | 95.95 | 97.69 | Elapsed time | 3.4 sec | 6.9 sec | 3.2 sec | 6.6 sec | 192.3 sec | 155.6 sec |
|
|