"Non-locality" Preserving Projection and Its Application to Palmprint Recognition

Author

Yang, Jian ; Zhang, David ; Yang, Jing-Yu

Author_Institution

Dept. of Comput., Hong Kong Polytech. Univ.

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

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

Keywords

biometrics (access control); feature extraction; image recognition; PolyU palmprint database; biometrics; feature extraction; nonlocality preserving projection; palmprint recognition; Biometrics; Data mining; Databases; Face recognition; Feature extraction; Helium; Linear discriminant analysis; Principal component analysis; Scattering; Testing; biometrics; feature extraction; manifold learning; palmprint recognition; subspace learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0341-3

Electronic_ISBN

1-4214-042-1

Type

conf

DOI

10.1109/ICARCV.2006.345339

Filename

4150180