Applying Artificial Neural Networks for Face Recognition : Table 4

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	Rowley’s model	450	57	3	88.76%	0.195