计算机应用与软件Issue(10)：155-158,4.DOI:10.3969/j.issn.1000-386x.2015.10.036
一种基于 GLRAM 的掌纹识别改进算法
IMPROVED GLRAM-BASED PALMPRINT RECOGNITION METHOD
摘要
Abstract
Under the condition of small sample,the average of all training samples used in traditional two-dimensional principal component analysis (2DPCA)is not always the scatter centre of the samples.In addition,the generalised low rank approximation of matrix (GLRAM) algorithm has to iterate many times for seeking the solution of the left and right projection transformation matrix,resulting in high degree of complexity.In order to solve these problems,we get the right projection transform matrix by making use of sample median-based 2DPCA algo-rithm (M2DPCA)and through covariance matrix,and obtain the left projection transform matrix by further reducing the dimensionality of pro-jection feature matrix of M2DPCA.Then the palmprint recognition algorithm of the generalised low rank approximation of matrix is proposed. Experiments on PolyU palmprint database indicate that while the improved GLRAMsaves a lot of training time,it also gets better performance than GLRAMin image reconstruction and recognition rate.关键词
掌纹识别/数据降维/中间值的二维主成分分析(M2DPCA)/矩阵广义低秩逼近(GLRAM)Key words
Palmprint recognition/Data dimensionality reduction/Median two-dimensional principal component analysis (M2DPCA)/Generalised low rank approximations of matrices (GLRAM)分类
信息技术与安全科学引用本文复制引用
彭晏飞,张彬,林森..一种基于 GLRAM 的掌纹识别改进算法[J].计算机应用与软件,2015,(10):155-158,4.基金项目
国家自然科学基金项目（61172144）。 （）
