关键词: 人脸识别, Gabor变换, 二维非负矩阵分解法

Abstract: In order to get the high quality facial features and improve the performance of face recognition, the face recognition method based on improved Gabor transform and two-dimensional non negative matrix factorization is proposed in this paper. Improved Gabor transform extracts the characteristics with a higher quality, enhances the robustness. Two dimensional non negative matrix decomposition of dimensionality reduction can greatly reduce the dimension of the image data, shorten the calculation time, improve the recognition rate. At last, experiments are carried in the ORL face database. The results show that improved Gabor transform and two-dimensional NMF method have a slight increase in the calculation time, but the recognition efficiency is improved obviously, thus proves the effectiveness of this method.

Key words: face recognition, Gabor transform, two-dimensional non-negative matrix decomposition method