A method for face recognition using profile images based on the scale-space filtering is presented in this paper. A grey-level image of profile is thresholded to produce a binary, black and white image, the black corresponding to face region. A pre-processing step then extracts the outline curve of the front portion of the silhouette that bounds the face image. From this curve, a set of twelve fiducial marks is automatically identified using scale- space filtering with varying the scale parameter. A set of twenty-one feature characteristics is derived from these fiducial marks. After normalising the feature characteristics using two selected fiducial marks, the Euclidean distance measure is used for measuring the similarity of the feature vectors derived from the outline profiles. Experiments were performed on a total of 150 profiles of thirty persons. Experimental results are presented and discussed. Finally, recognition rates and conclusions are given.