Research Article
A New Evolutionary-Incremental Framework for Feature Selection
Table 5
Comparison of the proposed methods and the previous methods for face recognition.
| | Method | Number of features | Accuracy of face recognition |
| | Basic EBGM [14] | 1200 | 98% | | Combination of EBGM and GA [15] | 672 | 91% | | Combination of EBGM and PSO [10] | 40 | 81% | | Combination of EBGM and ICA [10] | 40 | 86% | | Combination of EBGM and IWO [10] | 40 | 87% | | Combination of EBGM and variable length GA | 90 | 89% | Combination of EBGM and
evolutionary-incremental GA | 37 | 92% | Combination of EBGM and
evolutionary-incremental IWO | 25 | 93% |
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