Face Recognition Using Global Gabor Filter in Small Sample Case
Zhan Yu-bin · Jisuanji kexue yu tansuo · 2010
Although progress in face recognition has been encouraged in constraint conditions,many problems still exist in unconstraint tasks. Also,it is not easy to collect a large number of face samples of each people. To solve the problems above,the task of face recognition with a small number of training images of each people is considered. A new feature extraction method is proposed based on Gabor filter. Experiments in small sample case are carried out under JAFFE and ORL dataset. The result and analysis verify the validity and robustness of proposed method.