Research Article
Multithread Face Recognition in Cloud
Table 9
Comparison of the proposed cloud-based face recognition system with the systems described in [
36,
37].
| Method | Face database | Number of face images | Number of distinct subjects | Recognition accuracy (%) | Error (%) |
| Cloud vision [36] | ORL | 400 | 40 | 97.08 | 2.92 | Mobile cloud [37] | Local DB | 50 | 5 | 85 | 15 | Facial features [38] | BioID | 1521 | 23 | 92.35 | 7.65 | 2D-PCA + PSO-SVM [39] | BioID | 1521 | 23 | 95.65 | 4.35 | Proposed: Type I | BioID | 1521 | 23 | 100 | 0 | Proposed: Type I | FEI | 2800 | 20 | 100 | 0 | Proposed: Type II | BioID | 1521 | 23 | 97.22 | 2.78 | Proposed: Type II | FEI | 2800 | 20 | 99.5 | 0.5 | Proposed: Type I + fusion | BioID | 1521 | 23 | 100 | 0 | Proposed: Type I + fusion | FEI | 2800 | 20 | 100 | 0 | Proposed: Type II + fusion | BioID | 1521 | 23 | 100 | 0 | Proposed: Type II + fusion | FEI | 2800 | 20 | 100 | 0 |
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