| 基于Contourlet变换与SVM的掌纹识别 |
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| 引用本文： | 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. |
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| 作者姓名： | 王晅 王峰 梁荷岩 |
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| 作者单位： | 陕西师范大学物理与信息技术学院,西安,710062 |
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| 基金项目： | 陕西省自然科学基础研究计划基金资助项目(2009JM8003) |
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| 摘 要： | 提出一种基于轮廓波(Contourlet)变换与支持向量机(SVM)的掌纹识别算法。基于积分光密度与中心矩，对掌纹图像进行光照、位置与方向的归一化，提取Contourlet变换高频子带的一阶统计特征，形成掌纹特征，利用SVM进行分类与识别。实验结果表明，与基于统计特征的掌纹识别方法相比，该算法的识别率较高。
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| 关 键 词： | Contourlet变换 支持向量机 掌纹识别 统计特征 中心矩 |
| 收稿时间： | 2011-08-12 |
Palmprint Recognition Based on Contourlet Transform and SVM |
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| WANG Xuan
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WANG Feng
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LIANG He-yan.Palmprint Recognition Based on Contourlet Transform and SVM[J].Computer Engineering,2012,38(6):196-197. |
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| Authors: | WANG Xuan WANG Feng LIANG He-yan |
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| Affiliation: | (School of Physics and Information Technology,Shaanxi Normal University,Xi’an 710062,China) |
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| 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. |
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| Keywords: | Contourlet transform Support Vector Machine(SVM) palmprint recognition statistical feature central moment |
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