Abstract
In this paper an algorithm will be achieved to look for the properties of the skin for group then try to classify the skin of the group depending on the four properties (energy, contrast, correlation and homogeneity).
Studying the four above properties in details then gave whole view about their effect on skin feature extraction. The applied algorithm shows that the four above properties can be extracted as features for personal skin.
The experimental results of the proposed algorithm shows that the energy gave high recognition properties comparing with the remaining properties.
