| 基于Zernike矩及神经网络的掌纹识别方法 |
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| 引用本文： | 杨王黎,马瑞民,许少华,王淑华. 基于Zernike矩及神经网络的掌纹识别方法[J]. 东北林业大学学报, 2009, 37(8) |
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| 作者姓名： | 杨王黎 马瑞民 许少华 王淑华 |
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| 作者单位： | 1. 大庆石油学院,大庆,163318
2. 东北师范大学 |
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| 基金项目： | 国家自然科学基金，黑龙江省科技攻关项目 |
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| 摘 要： | 采用了一种分层次利用多种特征的由粗到细的掌纹识别技术.在该方法中,主要定义了2种层次特征:基于距离的几何特征和基于Zernike矩的纹理特征.针对2种不同的特征,采用2种经典的神经网络,并把它们有效地合成到一个识别系统.最后用实验验证了该方法的有效性.
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| 关 键 词： | 掌纹识别 Zernike矩 神经网络 |
Palmprint Identification Method Based on Zernike Moment and Neural Network |
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| Yang Wangli,Ma Ruimin,Xu Shaohua,Wang Shuhua. Palmprint Identification Method Based on Zernike Moment and Neural Network[J]. Journal of Northeast Forestry University, 2009, 37(8) |
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| Authors: | Yang Wangli Ma Ruimin Xu Shaohua Wang Shuhua |
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| Affiliation: | Yang Wangli,Ma Ruimin,Xu Shaohua(College of Computer Science , Engineering,Daqing Petroleum Institute,Daqing 163318,P.R.China),Wang Shuhua(Northeast Normal University) |
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| Abstract: | A hierarchical multi-feature scheme to facilitate coarse-to-fine matching for efficient and effective palmprint recognition was put forward according to the existing palmprint identification technology.First,two levels of features,geometry feature based on distance(level-1 feature) and texture feature based on Zernike moment(level-2 feature),were defined.Next,two different kinds of neural networks with different features were adopt and effectively combined into one recognition system.The experimental result... |
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| Keywords: | Palmprint identification Zernike moment Neural network |
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