Research Article
Performance Evaluation of Multimodal Multifeature Authentication System Using KNN Classification
Table 5
Comparison of various modalities.
| Method | Recognition accuracy | Modalities |
| Feature fusion of single scale LBP Guo et al. [25] | 81.46 | Face and palmprint |
| Score level fusion Zhou and Bhanu [26] | 93.30 | Side face and gait |
| Feature fusion of multiresolution LBP Guo et al. [25] | 94.79 | Face and palmprint |
| Score level fusion Kumar et al. [27] | 94.59 | Hand geometry and palmprint |
| Score level fusion Nandakumar et al. [28] | 94.80 | Fingerprint and iris |
| Feature Fusion of modified multiresolution Guo et al. [25] | 96.67 | Face and palmprint |
| Score level fusion Zhang et al. [29] | 92.67 | Fingerprint and palmprint |
| Score level fusion Korves et al. [30] | 97.50 | Fingerprint and face |
| Decision level fusion Abdolahi et al. [3] | 98.20 | Fingerprint and iris |
| Feature fusion Zhou and Bhanu [26] | 97.40 | Side face and gait |
| Score level fusion Aguilar et al. [31] | 98.20 | Iris and palmprint |
| Rank level fusion Monwar and Gavrilova [13] | 98.82 | Face, ear, and signature |
| Proposed feature fusion of hierarchical multiresolution LBP and Gabor | 99.96 | Iris and palmprint |
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