Research Article
A Fast Iterative Pursuit Algorithm in Robust Face Recognition Based on Sparse Representation
Table 3
Comparison on FERET database.
| Elapsed time per test image(s) | Test number | PALM | DALM | FISTA | TNIPM | OMP | Improved OMP |
| 1 | 13.6277 | 0.6245 | 3.7790 | 8.8048 | 10.1515 | 0.3854 | 2 | 13.6254 | 0.6191 | 3.8656 | 9.4325 | 10.4445 | 0.3325 | 3 | 18.9904 | 0.6191 | 3.8538 | 8.6242 | 10.2513 | 0.2858 | 4 | 15.2641 | 0.6316 | 4.0842 | 9.0337 | 10.2262 | 0.3229 | 5 | 15.2024 | 0.6364 | 4.0117 | 9.0880 | 10.4940 | 0.4109 | 6 | 13.1985 | 0.6125 | 3.8448 | 8.7168 | 10.2518 | 0.4428 | 7 | 14.5053 | 0.6365 | 3.7359 | 8.8999 | 10.8678 | 0.2599 |
| Average(s) | 14.9163 | 0.6257 | 3.8821 | 8.9428 | 10.3839 | 0.3486 |
| Recognition rate | Test number | PALM | DALM | FISTA | TNIPM | OMP | Improved OMP |
| 1 | 40% | 90.67% | 92.67% | 90.67% | 51.33% | 93.33% | 2 | 48.67% | 88% | 92.67% | 88% | 50% | 92% | 3 | 45.33% | 65.33% | 68.67% | 65.33% | 77.33% | 92.67% | 4 | 38.67% | 84.67% | 88% | 84.67% | 72.67% | 90.67% | 5 | 44.67% | 86.67% | 92% | 86.67% | 74.67% | 93.33% | 6 | 54.67% | 80% | 86% | 80% | 57.33% | 89.33% | 7 | 42.67% | 90% | 93.33% | 90% | 64% | 94.67% |
| Average | 44.95% | 83.62% | 87.62% | 83.62% | 63.90% | 92.29% |
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