| 基于Gabor小波变换和最佳鉴别特征的掌纹识别 |
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| 引用本文： | 李云峰,尚振东.基于Gabor小波变换和最佳鉴别特征的掌纹识别[J].计算机工程与应用,2008,44(22):189-191. |
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| 作者姓名： | 李云峰 尚振东 |
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| 作者单位： | 河南科技大学 机电工程学院，河南 洛阳 471003 |
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| 基金项目： | 河南科技大学人才科学研究基金 |
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| 摘 要： | 提出了一种提取掌纹图像特征的方法，该方法的实现过程如下：首先，计算掌纹图像上均布离散位置的二维Gabor小波变换系数的幅值，将其作为掌纹图像的原始特征；其次，利用主分量分析实现Gabor小波特征的降维；最后，通过线性判别分析提取最有利于分类的最佳鉴别特征。实验结果表明了该方法的有效性。
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| 关 键 词： | 掌纹识别 Gabor小波变换 主分量分析 线性判别分析 |
| 收稿时间： | 2007-10-11 |
| 修稿时间： | 2008-1-11
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Palmprint recognition based on Gabor wavelet transform and optimal discriminant features |
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| LI Yun-feng,SHANG Zhen-dong.Palmprint recognition based on Gabor wavelet transform and optimal discriminant features[J].Computer Engineering and Applications,2008,44(22):189-191. |
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| Authors: | LI Yun-feng SHANG Zhen-dong |
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| Affiliation: | College of Electromechanical Engineering，Henan University of Technology，Luoyang，Henan 471003，China |
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| Abstract: | A feature extraction method for palmprint image is proposed,the implementation procedure of this method is as follows:firstly,the 2D Gabor wavelet transform coefficient amplitudes are computed at the equispaced discrete positions on the palmprint image,and they are used as original features of the palmprint image;then,the dimension of the Gabor wavelet feature is reduced by principal component analysis;lastly,the optimal discriminant features that are most advantageous for classification are extracted by linear discriminant analysis.Experimental results show the effectiveness of this method. |
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| Keywords: | palmprint recognition Gabor wavelet transform principal component analysis linear discriminant analysis |
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