Rapid and brief communication: Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition

Authors:
Dewen Hu;Guiyu Feng;Zongtan Zhou
Affiliations:
Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, PR China;Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, PR China;Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, PR China
Venue:
Pattern Recognition
Year:
2007

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Abstract

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.