Palmprint recognition based on Gabor wavelets and 2-dimensional PCA&PCA

Author

Wen, Chang-zhi ; Zhang, Jia-shu

Author_Institution

Southwest Jiaotong Univ., Chengdu

Volume

4

fYear

2007

fDate

2-4 Nov. 2007

Firstpage

1518

Lastpage

1523

Abstract

This paper presents a novel palmprint recognition method using Gabor wavelets and 2-Dimensional Principal Component Analysis (2-DPCA) and PC A. Different from the Gabor wavelets plus PCA method, the proposed method uses the 2-DPCA to generate feature space for accurately extracting palmprint features, and PCA is used as further feature dimensional reduction. Simulation results on PolyU Palmprint Database show that the proposed method is superior to the Gabor plus PCA method in palmprint recognition and identification.

Keywords

image recognition; principal component analysis; wavelet transforms; 2-dimensional principal component analysis; Gabor wavelets; PCA method; PolyU palmprint database; feature dimensional reduction; palmprint identification; palmprint recognition; Biometrics; Convolution; Feature extraction; Image recognition; Notice of Violation; Pattern analysis; Pattern recognition; Principal component analysis; Spatial databases; Wavelet analysis; 2-DPCA; Gabor wavelet; PCA; palmprint;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1065-1

Electronic_ISBN

978-1-4244-1066-8

Type

conf

DOI

10.1109/ICWAPR.2007.4421691

Filename

4421691