Research Article
A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition
Table 6
Comparison of recognition accuracy of various methods with the proposed method.
| Method | Highest recognition accuracy |
| GDA | 78.04% | Elastic graph matching (EGM) [9] | 80.00% | DCT-LDA | 80.87% | GWT | 81.1% | DCT-GDA | 82.84%, | GWT-LDA | 84.1% | DCT-KDCV | 85.13% | Gabor fusion KDCV |
91.22% | Proposed approach | 94.25% |
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