The main purpose of our research is to evaluate which subject's facial parts are most effective at making the difference between men and women. We prepared the four directional feature fields on multiple facial parts images, such as face, jaw, lip, nose, eyes, and R eye. Then, we recognized these images by using the linear discriminate analysis. Furthermore, we analyzed the feature space by using cluster discriminate analysis. After experimenting on a large number of subjects, we conclude that face and jaw make good feature spaces.