Research Article
Deep-Learning-Based Approach for Iraqi and Malaysian Vehicle License Plate Recognition
Table 12
Recognition results for Malaysian plates (YOLOV2).
| ā | Data volume | LP detection | LP recognition | # training images | # testing images | Training set | Testing set | Training | Testing | # of failures | # of wrongly detected | # of failures | # of wrongly detected | Recognition rate | Recognition rate |
| Fold 1 | 522 | 127 | 7 | 15 | 9 | 9 | 95.79 | 85.83 | Fold 2 | 473 | 107 | 0 | 5 | 5 | 9 | 98.94 | 86.92 | Fold 3 | 486 | 123 | 10 | 4 | 2 | 8 | 97.12 | 91.87 | Fold 4 | 502 | 133 | 1 | 9 | 4 | 9 | 98.01 | 90.23 | Fold 5 | 504 | 133 | 0 | 7 | 4 | 10 | 98.61 | 89.47 | Average | ā | 97.69 | 88.86 |
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