A Face Recognition Algorithm Based on Composite Gradient Vector
Zhi Wang · Acta Automatica Sinica · 2011
A novel approach to face recognition based on the composite gradient vector (CGV) is proposed in this paper. Firstly,by detecting the target area information in the located facial image,several image segments are made ready for getting the base vectors with the edges of the sub-area. All the base vectors are made into vector groups. Then the great gradient vector which is extracted from the vector groups constitutes the composite gradient vector. The dimensions and gradient information are calculated for face recognition. Finally,recognition results are obtained by gradient and dimension both of which are extracted from the composite gradient vector. Experiments show that the proposed approach has overcome the feature rotating,varied pose,different facial expressions,and achieves good recognition results.