Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1248
Title: "Non-locality" preserving projection and its application to palmprint recognition
Authors: Yang, Jian
Zhang, David D.
Yang, Jing-yu
Subjects: Feature extraction
Manifold learning
Subspace learning
Biometrics
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].
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.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1248
ISBN: 1424403421
Appears in Collections:COMP Conference Papers & Presentations

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