Face recognition has became one of the most popular application in computer vision, due to a large demand for security. In recent years, major advances have been reported in the face recognition and, therefore, the methods are becoming more accurate and efficient. Recent research pointed that feature extraction using activity in directed graphs showed excellent results in feature extraction. In this paper, we proposed a face recognition method based on activities of directed graphs in spatial pyramid. First, the image is represented by a graph, where each pixel is mapped into a vertex and then, the activity of each vertex is estimated. Finally, histograms of activities in spatial pyramid are calculated to characterize the face. According to the results, it was confirmed the efficiency of the proposed method in facial recognition using widely used datasets.