Research Article
Sparse Representation Classifier Embedding Subspace Mapping and Support Vector for Facial Expression Recognition
Table 9
Performance results on the CK+ dataset using deep feature.
| | Angry | Disgust | Fear | Happy | Sad | Surprise |
| SRC | 90.88 | 90.63 | 87.04 | 92.55 | 90.82 | 92.34 | K-SVD | 91.61 | 92.06 | 88.91 | 94.34 | 91.41 | 92.44 | LC-KSVD | 92.23 | 92.70 | 89.37 | 95.31 | 92.09 | 92.57 | FDDL | 93.38 | 93.28 | 90.99 | 96.41 | 92.72 | 93.86 | SVGDL | 93.41 | 94.15 | 90.98 | 96.91 | 92.63 | 94.12 | SDDL | 94.04 | 94.28 | 91.30 | 97.28 | 93.05 | 94.16 | LCDL-SV | 95.01 | 94.51 | 91.47 | 97.68 | 93.12 | 94.82 | SRC-SM-SV | 95.50 | 95.00 | 91.50 | 98.00 | 93.00 | 97.00 |
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