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Title: Non-locality preserving projection and its application to palmprint recognition
Authors: Yang, J
Zhang, DD 
Yang, JY
Keywords: Feature extraction
Manifold learning
Subspace learning
Palmprint recognition
Issue Date: 2006
Publisher: IEEE
Source: 2006 9th International Conference on Control, Automation, Robotics, and Vision : 5-8 December 2006, Singapore, [p. 1-4] How to cite?
Abstract: This paper develops a "Non-locality" Preserving Projection (NLPP) technique for feature extraction. In contrast to the existing Locality Preserving Projection (LPP), a technique based on the characterization of the local scatter, NLPP is a method based on the characterization of the non-local scatter. Intuitively, NLPP should be more effective than LPP when the non-local information plan a dominant role in discrimination. NLPP is tested using the PolyU palmprint database and the experimental results show that NLPP outperforms PCA, LDA and LPP.
ISBN: 1424403421
Rights: © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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