Table 3.
EERs calculation on different datasets using maximum curvature and repeated line tracking feature extraction methods (The best matches are marked in bold).
| Feature | ROI | SDUMLA-FV | MMCBNU_6000 | FV-USM | UTFVP |
|---|---|---|---|---|---|
| maximum curvature |
Kumar’s Method | 5.48% | 12.17% | 6.73% | 3.64% |
| Lu’s Method | 16.90% | 9.83% | 2.92% | 3.35% | |
| Proposed Method | 5.29% | 5.49% | 1.27% | 3.19% | |
| Repeated line tracking |
Kumar’s Method | 8.98% | 6.85% | 7.97% | 4.00% |
| Lu’s Method | 5.65% | 4.56% | 2.33% | 1.53% | |
| Proposed Method | 3.96% | 3.33% | 0.67% | 1.18% |