Texture analysis and classification using deterministic tourist walk BACKES, A. R. ; GONÇALVES, W. N. ; MARTINEZ, A. S. ; BRUNO, O. M. Pattern Recognition, v. 43, p. 685-694, 2010.
Face recognition is an important field that has received a lot of attention from computer vision community, with diverse set of applications in industry and science. This paper introduces a novel graph based method for face recognition which is rotation invariant. The main idea of the approach is to model the face image into a graph and use complex network methodology to extract a feature vector. We present the novel methodology and the experiments comparing it with four important and state of art algorithms. The results demonstrated that the proposed method has more positive results than the previous ones.