2DPCA Identification Method of MEEMD Palmprint

YAN Ting-qin; LIU Shu-fen

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2DPCA Identification Method of MEEMD Palmprint

更新时间：2026-09-04

- 2DPCA Identification Method of MEEMD Palmprint
- Vol. 28, Issue 10, Pages: 146-149(2011)
- 作者机构：
  
  苏州市职业大学机构电子信息工程系,江苏,苏州,215104
- 作者简介：
- 基金信息：
- DOI：
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- Published：2011
- 稿件说明：
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颜廷秦, 刘淑芬. MEEMD特征掌纹的2DPCA识别方法[J]. 微电子学与计算机, 2011, 28(10): 146-149.

YAN Ting-qin, LIU Shu-fen. 2DPCA Identification Method of MEEMD Palmprint[J]. 2011, 28(10): 146-149.
颜廷秦, 刘淑芬. MEEMD特征掌纹的2DPCA识别方法[J]. 微电子学与计算机, 2011, 28(10): 146-149. DOI：

YAN Ting-qin, LIU Shu-fen. 2DPCA Identification Method of MEEMD Palmprint[J]. 2011, 28(10): 146-149. DOI：

摘要

为了提高识别率

提出了基于MEEMD和2DPCA的掌纹识别方法.利用MEEMD技术对掌纹图像进行分解

得到本征模式函数 (IMF) 分量

用高频分量重构掌纹图像

形成掌纹识别图像集.然后利用2DPCA技术进行识别.MEEMD重构掌纹能够突出掌纹细节特征

提高识别率.采用香港理工大学掌纹数据库进行实验

将此方法与不包含MEEMD的2DPCA方法进行比较

实验结果说明此方法有较高的识别率和较快的识别速度.

Abstract

To improve the recognition rate

a palmprint recognition method based on multi-dimensional ensemble empirical mode decomposition (MEEMD) and two-dimensional principal component analysis (2DPCA) is proposed in this paper.Palmprint images are decomposed with MEEMD to get IMF components

then reconstruct the palmprint images with the high frequency IMF components to get the recognition palmprint images set.As the last step

the reconstructed palmprint set is input to 2DPCA to recognize.The reconstructed palmprint images have more high frequency characteristic details than the original palmprint images

so its recognition rate is higher.The palmprint database of Hong Kong Polytechnic University is employed in experiments.The results show the higher recognition rate and faster recognition speed of our method.

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