This paper presents a symmetry measurement based on the correlation coefficient. This symmetry measurement is used to locate the center line of faces, and afterward, to decide whether the face view is frontal or not. A 483-face image database obtained from the U.S. Army was used to test the algorithm. Though the performance of the algorithm is limited to 87%, this is due to the wide range of variations present in the database used to test our algorithm. Under more constrain conditions, such as uniform illumination, this technique can be a powerful tool in facial feature extraction. In regards its computational requirements, though this algorithm is very expensive, three independent optimizations are presented; two of which are successfully implemented, and tested.