计算机应用与软件2011，Vol.28Issue(1)：242-245,4.
一种基于Gabor小波和2DPCA的掌纹识别改进算法
AN IMPROVED PALMPRINT RECOGNITION METHOD USING GABOR WAVELETS AND 2DPCA
苏滨 1姜威1
作者信息
- 1. 山东大学信息科学与工程学院,山东,济南,250100
- 折叠
摘要
Abstract
This paper presents an improved palmprint recognition method using Gabor wavelets transform and 2-dimentional principal component analysis (2DPCA). 2DPCA in this method overcomes the curse of dimensionality encountered in traditional way of making principal component analysis (PCA) directly after Gabor wavelets transform, moreover, PCA is integrated with Fisher linear discrimination ( FLD),and the PCA features, of which only being used to reduce dimensions in the past, and the FLD feature are fused to carry out palmprint recognition. Simulation results based on PolyU Palmprint Database show that the proposed method can get higher recognition rate with lower dimensions.关键词
掌纹识别/Gabor小波变换/二维主分量分析/主分量分析/Fisher线性判别引用本文复制引用
苏滨,姜威..一种基于Gabor小波和2DPCA的掌纹识别改进算法[J].计算机应用与软件,2011,28(1):242-245,4.
