A rotation and scale invariance face Recognition Method Based on Complex Network and Image Contour
Tang Xiao, Yinhe Wang, Qinruo Wang · 2012
The Method based on Image Contour and shape can achieve high identify efficiency with simple process. But the change of the facial expression, light intensity or position of shelters will reduce the recognition effect. To solve these problems, a Face Recognition Method Based on Complex Network and Image Contour is discussed in this paper. The main idea of the approach is to extract the face image contour, model them into graphs and use complex network methodology to extract a feature vector for face recognition. Experiments show that the proposed method could effectively control the scale of the complex network and adapt to the changes in the boundary shape with efficient power of face recognition. The proposed method is also proved to be scale invariant and rotation invariant.