2D-LDA: A statistical linear discriminant analysis for image matrix
This paper proposes an innovative algorithm named 2D-LDA, which directly extracts the proper features from image matrices based on Fishers Linear Discriminant Analysis. We experimentally compare 2D-LDA to other feature extraction methods, such as 2D-PCA, Eigenfaces and Fisherfaces. And 2D-LDA achieves the best performance.
linear discriminant analysis feature extraction image representation subspace techniques face recognition