Research Article
A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation
Table 1
Comparison on ORL database.
| Elapsed time per test image(s) | Test number | PALM | DALM | FISTA | TNIPM | OMP | Improved OMP |
| 1 | 1.0957 | 2.6292 | 0.3548 | 0.9861 | 33.1391 | 0.0278 | 2 | 1.3422 | 2.6434 | 0.3628 | 1.0106 | 35.4203 | 0.0248 | 3 | 1.5197 | 2.6408 | 0.3607 | 0.9211 | 34.7244 | 0.0233 | 4 | 1.5638 | 2.6922 | 0.3661 | 0.9212 | 35.2557 | 0.0253 | 5 | 1.2596 | 2.6749 | 0.3655 | 0.8308 | 36.5687 | 0.0238 | 6 | 1.4026 | 2.6485 | 0.3635 | 0.8343 | 36.8514 | 0.0259 | 7 | 1.3802 | 2.7209 | 0.3682 | 0.8390 | 36.7581 | 0.0218 | 8 | 1.2477 | 2.7298 | 0.3742 | 1.0580 | 36.8528 | 0.0208 | 9 | 1.4948 | 2.7602 | 0.3635 | 0.8528 | 35.9073 | 0.0213 | 10 | 1.3220 | 2.6478 | 0.3670 | 1.04 | 38.6038 | 0.0214 |
| Average(s) | 1.3628 | 2.6788 | 0.3646 | 0.9294 | 36.008 | 0.0236 |
| Recognition rate | Test number | PALM | DALM | FISTA | TNIPM | OMP | Improved OMP |
| 1 | 62.5% | 87.5% | 90% | 87.5% | 77.5% | 95% | 2 | 70% | 90% | 90% | 90% | 82.5% | 92.5% | 3 | 77.5% | 92.5% | 92.5% | 92.5% | 80% | 95% | 4 | 80% | 90% | 92.5% | 90% | 80% | 95% | 5 | 70% | 92.5% | 92.5% | 92.5% | 85% | 97.5% | 6 | 77.5% | 92.5% | 92.5% | 92.5% | 82.5% | 95% | 7 | 75% | 92.5% | 95% | 95% | 87.5% | 95% | 8 | 67.5% | 92.5% | 92.5% | 92.5% | 85% | 97.5% | 9 | 82.5% | 95% | 95% | 95% | 85% | 97.5% | 10 | 75% | 92.5% | 95% | 92.5% | 82.5% | 95% |
| Average | 73.75% | 91.75% | 92.75% | 92% | 82.75% | 95.5% |
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