A method for face detection and recognition using geometrical relationships of faces is presented in this paper. A gray level of image which is thresholded to produce a binary, edged image is required for face detection step then finding the head outline and then extracting it to perform the process of recognition. A pre-processing step will occur to remove the noise effect and to produce the accurate outline of head curve. The system is composed of a face detection stage presented previously which provides good results maintaining a low computational cost. After the integration of the two stages, several improvements are proposed which increase the face detection and recognition rate and the overall performance of the system. Application of these techniques has led to measurements of characteristic features of the human face with sufficient accuracy to merit later inclusion in full package for automated facial recognition. Good results have been obtained.