Research Article
More Adaptive and Updatable: An Online Sparse Learning Method for Face Recognition
Table 3
Comparison results of different face recognition methods with POEM features.
| Model | Recognition rate (%) on the subset | ORR (%) | fb | fc | dupI | dupII |
| Zhang et al. [9] | 98.0 | 97.0 | 74.0 | 71.0 | 87.8 | Zhang et al. [10] | 97.5 | 99.5 | 79.5 | 77.8 | 90.2 | Mehta et al. [13] | 98.2 | 96.4 | 83.9 | 74.8 | 91.3 | Nguyen et al. [11] | 98.1 | 99.0 | 83.8 | 81.6 | 92.1 | Zou et al. [14] | 99.5 | 99.5 | 85.0 | 79.5 | 93.0 | Tan and Triggs [15] | 98.0 | 98.0 | 90.0 | 85.0 | 94.2 | Proposed method | 97.7 | 90.2 | 91.5 | 100 | 95.4 |
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