Face recognition based on circularly symmetrical Gabor transform
In this paper, we propose a face recognition approach using circularly symmetrical Gabor transform (CSGT). The traditional Gabor transform is replaced by CSGT. All the face images are transformed by CSGT first and then face recognition is performed in CSGT feature space. Detailed theoretical analysis is presented and simulation results on Yale, AR and ORL face databases are given. The recognition rates can reach 92.59%, 85.29% and 97.5% respectively by the proposed algorithm.