Research Article
3D Palmprint Recognition Using Dempster-Shafer Fusion Theory
Table 1
Recognition results based on MCR and GCR data fusion.
| Samples | Method | O1 | O2 | O3 | O4 | Uncertain | Recognition results |
| O1 | MCR | 0.5769 | 0.0043 | 0.4135 | 0.0039 | 0.0014 | Uncertain | GCR | 0.6878 | 0.1308 | 0.0366 | 0.1013 | 0.0435 | O1 | Fusion | 0.8239 | 0.1008 | 0.0285 | 0.0465 | 0.0003 | O1 |
| O2 | MCR | 0.0308 | 0.7221 | 0.0385 | 0.1633 | 0.0453 | O2 | GCR | 0.0015 | 0.5705 | 0.3810 | 0.0068 | 0.0402 | Uncertain | Fusion | 0.0018 | 0.8320 | 0.1538 | 0.0085 | 0.0039 | O2 |
| O3 | MCR | 0.0130 | 0.3685 | 0.5618 | 0.0144 | 0.0423 | Uncertain | GCR | 0.1750 | 0.0256 | 0.7232 | 0.0372 | 0.0390 | O3 | Fusion | 0.1025 | 0.0160 | 0.8685 | 0.0128 | 0.0002 | O3 |
| O4 | MCR | 0.1211 | 0.1034 | 0.0019 | 0.7317 | 0.0419 | O4 | GCR | 0.0090 | 0.3706 | 0.0103 | 0.5718 | 0.0383 | Uncertain | Fusion | 0.0110 | 0.1180 | 0.0083 | 0.8625 | 0.0002 | O4 |
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