计算机工程2012，Vol.38Issue(13)：175-177,3.DOI:10.3969/j.issn.1000-3428.2012.13.052
基于Contourlet变换和NMF的掌纹识别算法
Palmprint Recognition Algorithm Based on Contourlet Transform and NMF
摘要
Abstract
This paper proposes a palmprint recognition algorithm by integrating Contourlet transform and Non-negative Matrix Factorization (NMF). Three steps are involved in the algorithm: a source palmprint image is convolved by the Contourlet transform; NMF is used to extract features from the low frequency components, and the nearest neighbor classifier is used for classification. Experimental results show that the recognition rate is significantly improved than using NMF, 2DPCA and other recognition methods.关键词
Contourlet变换/非负矩阵分解/掌纹识别/融合/特征提取/2DPCA算法Key words
Contourlet transform/ Non-negative Matrix Factorization(NMF)/ palmprint recognition/ fusion/ feature extraction/ 2DPCA algorithm分类
信息技术与安全科学引用本文复制引用
刘洋,李燕华,潘新,多化琼,苏静..基于Contourlet变换和NMF的掌纹识别算法[J].计算机工程,2012,38(13):175-177,3.基金项目
国家自然科学基金资助项目“木材纹理的数字化表征”(30960303) （30960303）
