计算机工程2012，Vol.38Issue(6)：196-197,200,3.DOI:10.3969/j.issn.1000-3428.2012.06.064
基于Contourlet变换与SVM的掌纹识别
Palmprint Recognition Based on Contourlet Transform and SVM
摘要
Abstract
This paper describes palmprint verification based on the Contourlet transform and Support Vector Machine(SVM). Palmprint images are normalized in the orientation, position and illumination conditions based on the integrated optical density, central moments, and one order statistics of each sub-band are calculated in their Contourlet domains and regarded as features. A SVM-based classifier is employed to implement recognition. Experimental results show that the recognition rate is higher than that of palmprint recognition algorithms based on statistical features.关键词
Contourlet变换/支持向量机/掌纹识别/统计特征/中心矩Key words
Contourlet transform/ Support Vector Machine(SVM)/ palmprint recognition/ statistical feature/ central moment分类
信息技术与安全科学引用本文复制引用
王晅,王峰,梁荷岩..基于Contourlet变换与SVM的掌纹识别[J].计算机工程,2012,38(6):196-197,200,3.基金项目
陕西省自然科学基础研究计划基金资助项目(2009JM8003) （2009JM8003）
