title: An efficient classification method based on principal component and sparse representation.
abstract: As an important application in optical imaging, palmprint recognition is interfered by many unfavorable factors. An effective fusion of blockwise bi-directional two-dimensional principal component analysis and grouping sparse classification is presented. The dimension reduction and normalizing are implemented by the blockwise bi-directional two-dimensional principal component analysis for palmprint images to extract feature matrixes, which are assembled into an overcomplete dictionary in sparse classification. A subspace orthogonal matching pursuit algorithm is designed to solve the grouping sparse representation. Finally, the classification result is gained by comparing the residual between testing and reconstructed images. Experiments are carried out on a palmprint database, and the results show that this method has better robustness against position and illumination changes of palmprint images, and can get higher rate of palmprint recognition.
authors.affiliation: School of Mathematics, Shandong University, Shanda Nanlu 27, Jinan, 250100 China.
authors.forename: Lin
authors.initials: L
authors.lastname: Zhai
authors.affiliation: School of Mathematics, Shandong University, Shanda Nanlu 27, Jinan, 250100 China.
authors.forename: Shujun
authors.initials: S
authors.lastname: Fu
authors.affiliation: School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, 250061 China ; School of Computer Science and Technology, Shandong University, Jinan, 250101 China.
authors.forename: Caiming
authors.initials: C
authors.lastname: Zhang
authors.affiliation: School of Mathematics, Shandong University, Shanda Nanlu 27, Jinan, 250100 China.
authors.forename: Yunxian
authors.initials: Y
authors.lastname: Liu
authors.affiliation: School of Public Health, Shandong University, Jinan, 250012 China.
authors.forename: Lu
authors.initials: L
authors.lastname: Wang
authors.affiliation: Department of Ophthalmology, Qilu Children's Hospital of Shandong University, Jinan, 250022 China.
authors.forename: Guohua
authors.initials: G
authors.lastname: Liu
authors.affiliation: School of Information Science and Engineering, Shandong University, Jinan, 250100 China.
authors.forename: Mingqiang
authors.initials: M
authors.lastname: Yang
keywords: Image classification; Palmprint recognition; Principal component analysis; Sparse representation; Subspace optimization