Facial recognition system using efficient methods for facial scale variations

Facial recognition technology is effective in human computer communication. Robustness for facial recognition is necessary because face views change in many ways due to position, expression, and light. We propose a facial recognition system robust for facial scale variations, which is mainly composed of our flexible feature matching and rapid parallel estimation of facial position and scale.