Research Article
Multiparameter Space Decision Voting and Fusion Features for Facial Expression Recognition
Table 3
Comparison of the ER accuracy (%) of various features on the CK + dataset.
| Method | AN | CO | DI | FE | HA | SA | SU | ER accuracy (%) |
| LBP + SVM | 83.22 | 100.00 | 95.12 | 93.80 | 100.00 | 94.18 | 92.03 | 94.05 | HOG + SVM | 82.22 | 95.00 | 91.36 | 92.00 | 100.00 | 100.00 | 90.00 | 92.94 | Gabor + SVM | 83.38 | 95.64 | 83.03 | 60.00 | 89.78 | 57.42 | 95.22 | 85.76 | The proposed method | 93.39 | 100.00 | 94.29 | 100.00 | 95.71 | 98.75 | 98.75 | 98.21 |
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