A new palmprint recognition method is proposed based on multilinear kernel principal component analysis(MKPCA).The MKPCA projected the input samples to high dimensionality feature space F by nonlinear transformation.In the feature space F,the MPCA was first used to operate directly on the tensor objects to obtain the low dimensionality projection tensors.Then the palmprint images were projected onto the tensor subspace for extracting the feature vectors.Finally,the cosine distance between two feature vector...