Human-face extraction using modified HSV color system and personal identification through facial image based on isodensity maps

In this paper, a modified HSV color system which is suitable for the extraction of the human face from general indoor backgrounds is proposed. Experimental results of a personal identification system based on isodensity maps is described. Computer simulation using 111 pictures with various backgrounds shows an 89% face extraction accuracy. For human face identification, experimental results using 3481 pairs of face images show a 99.9% accuracy.