Research Article
Applying Artificial Neural Networks for Face Recognition
Table 4
Performance of detection on MIT + CMU test set of ABANN detector.
| Name | AdaBoost structure | | | | | | | | Number of strong classifiers | Number of Haar-like features | ANN structure | Face detected | Missed faces (false rejection) | False detections | Detection rate | Average time to process an image (second) |
| AB-ANN | 20 | 1925 | Rowley’s model | 466 | 41 | 13 | 91.91% | 0.174 | AB-ANN | 25 | 2913 | 450 | 57 | 3 | 88.76% | 0.195 |
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