Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition
This paper proposes a novel algorithm for image feature extraction, namely, the two-dimensional locality preserving projections (2DLPP), which directly extracts the proper features from image matrices based on locality preserving criterion. Experimental results on the PolyU palmprint database show the effectiveness of the proposed algorithm.
palmprint recognition locality preserving projections (lpp) principal component analysis (pca) linear discriminant analysis (lda)