Research Article
A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation
Table 2
Comparison on Yale database.
| Elapsed time per test image(s) | Test number | PALM | DALM | FISTA | TNIPM | OMP | Improved OMP |
| 1 | 1.9440 | 1.3520 | 5.9824 | 20.1194 | 12.433 | 0.7253 | 2 | 1.6345 | 1.3967 | 6.4434 | 17.1639 | 11.1681 | 0.7690 | 3 | 1.8704 | 6.3440 | 6.3742 | 17.4002 | 11.3312 | 0.7831 | 4 | 1.9500 | 2.0409 | 7.0701 | 18.1936 | 11.0440 | 0.7920 | 5 | 1.6420 | 1.3959 | 6.1629 | 16.8426 | 10.5832 | 0.7215 | 6 | 1.3926 | 1.3948 | 6.1054 | 15.7372 | 11.6463 | 0.7824 | 7 | 1.5375 | 1.3638 | 7.3222 | 15.9961 | 13.0719 | 0.6903 | 8 | 1.3519 | 1.4371 | 7.8755 | 15.6780 | 11.1364 | 0.8467 |
| Average(s) | 1.6654 | 2.0907 | 6.6670 | 17.1414 | 11.5518 | 0.6731 |
| Recognition rate | Test number | PALM | DALM | FISTA | TNIPM | OMP | Improved OMP |
| 1 | 52.96% | 47.37% | 92.11% | 55.92% | 78.95% | 92.43% | 2 | 53.29% | 50.33% | 95.39% | 90.13% | 81.58% | 92.76% | 3 | 51.97% | 52.63% | 92.76% | 87.17% | 83.22% | 90.46% | 4 | 53.29% | 51.64% | 92.43% | 91.12% | 85.53% | 95.72% | 5 | 47.37% | 49.34% | 94.41% | 91.78% | 79.93% | 94.74 % | 6 | 50% | 51.64% | 96.38% | 93.75% | 82.89% | 96.71% | 7 | 49.34% | 47.37% | 93.42% | 92.76% | 82.89% | 92.43% | 8 | 51.64% | 50% | 95.39% | 94.74% | 86.51% | 95.72% |
| Average | 51.23% | 50.04% | 94.04% | 87.17% | 82.69% | 93.87% |
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