Applying Artificial Neural Networks for Face Recognition

Table 2

Performance of detecton on MIT + CMU test set of AdaBoost detector.

Method	Number of stages	Number of Haar-like features used	Face detected	Missed faces (false rejection)	False detections	Detection rates	Average time to process an image (second)
AB20	20	1925	467	40	202	92.11%	0.179
AB25	25	2913	452	55	40	89.15%	0.202