A study of hand vein recognition method

A study of hand vein recognition method
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DOI:
10.1109/icma.2005.1626888
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发表时间:
2005-07
期刊:
IEEE International Conference Mechatronics and Automation, 2005
影响因子:
--
通讯作者:
Yuhang Ding;Dayan Zhuang;Ke-jun Wang
Yuhang Ding;Dayan Zhuang;Ke-jun Wang
中科院分区:
其他
文献类型:
--
作者:
Yuhang Ding;Dayan Zhuang;Ke-jun Wang

文献摘要

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本文首先介绍了手背静脉识别的理论基础和难点。然后,深入研究了手背静脉图像的阈值分割方法和细化方法,提出了一种新的阈值分割方法和一种改进的条件细化方法。初步研究了基于端点和交叉点的手部静脉图像特征提取方法,并采用基于距离的匹配方法对静脉图像进行匹配。匹配实验表明,该方法是有效的。
In this paper, the theoretical foundation and difficulties of hand vein recognition are introduced at first. Then, the threshold segmentation method and thinning method of hand vein image are deeply studied and a new threshold segmentation method and an improved conditional thinning method are proposed. The method of hand vein image feature extraction based on end points and crossing points is studied initially, and the matching method based on distances is used to match vein images. The matching experiments indicated that this method is efficiently.