Research Article
A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition
Table 14
The summary of results (proposed method).
| | Method | Number of images
for training | Recognition rate | | Best | Average | Worst |
| Proposed method
(ear database) | 3
(up to 80%) | 100% | 100% | 100% | Proposed method
(ear database) | 2
(up to 50%) | 96.75% | 96.15% | 95.45% | Proposed method
(ORL database) | 8
(up to 80%) | 100% | 100% | 100% | Proposed method
(ORL database) | 5
(up to 50%) | 99% | 98.50% | 98.50% | Proposed method
(FERET database) | (up to 80%) | 98% | 92.63% | 88.17% | Proposed method
(iris database) | (up to 80%) | 100% | 99.31% | 98.70% |
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