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基于局部保持投影和核直接判别分析的掌纹识别
引用本文:郭金玉.基于局部保持投影和核直接判别分析的掌纹识别[J].光电子.激光,2011(1):127-130.
作者姓名:郭金玉
作者单位:沈阳化工大学信息工程学院;
基金项目:国家自然科学基金资助项目(60774070); 辽宁省教育厅科研资助项目(L2010436); 辽宁省博士启动基金资助项目(20091061)
摘    要:为了提高识别性能,提出运用局部保持投影(LPP)和核直接判别分析(KDDA)相结合的方法进行掌纹识别.在小样本图像识别中,为了解决特征方程矩阵的奇异性,首先运用图像下抽样降低掌纹空间的维数,然后应用LPP提取掌纹局部结构特征作为KDDA的输入提取分类特征,计算特征向量间的余弦距离进行掌纹匹配.运用PolyU掌纹图像库,...

关 键 词:图像处理  掌纹识别  下抽样  局部保持投影(LPP)  核直接判别分析(KDDA)

Palmprint recognition based on locality preserving projection and kernel direct discriminant analysis
GUO Jin-yu.Palmprint recognition based on locality preserving projection and kernel direct discriminant analysis[J].Journal of Optoelectronics·laser,2011(1):127-130.
Authors:GUO Jin-yu
Affiliation:GUO Jin-yu,LI Yuan,KONG Xiao-guang,ZENG Jing(College of Information Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China)
Abstract:A palmprint recognition method based on locality preserving projection(LPP) and kernel direct discriminant analysis(KDDA) was proposed in order to improve the recognition performance.In small-size-sample cases(such as image recognition),in order to resolve the singularity of the eigenvalue equation,the image down-sample was first applied to reduce the palmprint space dimension,the LPP was used to extract the local structure features as the input classification extraction features of KDDA,and the cosine dist...
Keywords:image processing  palmprint recognition  down-sample  locality preserving projection(LPP)  kernel direct discriminant analysis(KDDA)  
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