The Haar-Like Feature Extraction with AdaBoost identifies the face with a very
high right-positive rate. The implemented rules, which identify the detected ROI as
valid, helped to reduce the initial high false-positive rate when selecting the three
regions of interest for the eyes, the nose and the mouth.