Identification of human faces based on isodensity maps

Abstract

The feasibility of using isodensity lines for human face identification system is presented through experimental investigation. Instead of using feature points extracted from the faces, as is done in the conventional face matching systems, the technique presented uses gray level isodensity line maps of the faces. Only simple template matching is then required to match the individual isodensity lines. The preprocessing required, the properties of isodensity lines and some considerations for practical implementation are also discussed. The results show a 100% accuracy in matching same persons and a 100% accuracy in discriminating different persons (including persons with spectacles).