We employ the SIFT (Scale Invariant Feature Transform) features to evaluate the effect of environmental variations on face recognition system. In previous papers, the SIFT method has been mainly used for the objects with distinct features such as texture and character. The performance of face recognition has degraded under the variation of illuminations. We reveal significant properties of the recognition using SIFT for facial images with various facial expressions and the variation of illumination and pose.