Face Recognition Based on DCT and 2DLDA

A face recognition method based on the discrete cosine transform (DCT) and two dimensional linear discriminant analysis (2DLDA) is presented. First, in this paper, the dimensionality of the original face image is reduced by using the DCT and the upper-left corner of the DCT matrix is selected to be the features of face image. Next, the proper feature are abstracted from the truncated DCT coefficient matrix by 2DLDA. The proposed algorithms are compared with both the DCT-based algorithm and the DCT+LDA algorithm which are proposed for face recognition. Experimental results on the ORL face database show that the proposed approach is feasible and has higher recognition performance than the other two algorithms.