Research Article
Multiparameter Space Decision Voting and Fusion Features for Facial Expression Recognition
Table 4
Comparison of the ER accuracy (%) of various features on the TFEID dataset.
| Method | AN | CO | DI | FE | HA | SA | SU | ER accuracy (%) |
| LBP + SVM | 60.00 | 96.17 | 99.41 | 71.97 | 98.42 | 68.90 | 100.00 | 84.98 | HOG + SVM | 88.97 | 96.67 | 96.14 | 82.43 | 97.89 | 87.17 | 97.42 | 92.38 | Gabor + SVM | 82.38 | 94.64 | 82.97 | 83.08 | 93.14 | 64.12 | 100.00 | 85.76 | The proposed method | 90.33 | 100.00 | 93.50 | 89.99 | 95.00 | 90.67 | 95.00 | 93.50 |
|
|