Personal identification based on multiple keypoint sets of dorsal hand vein images
Personal identification based on multiple keypoint sets of dorsal hand vein images
复制标题
基于多组手背静脉图像关键点的个人身份识别
DOI：
10.1049/iet-bmt.2013.0042
复制
发表时间：
2014-12
期刊：
影响因子：
2
通讯作者：
Shark, Lik-Kwan
中科院分区：
文献类型：
--
作者：
Wang, Yiding;Zhang, Ke;Shark, Lik-Kwan
本文提出了一种基于近红外手背静脉图像的生物特征识别系统，并利用尺度不变特征变换对提取的手背静脉图像中的关键点进行匹配。详细介绍了整个系统，包括所使用的成像设备，提出的几何校正图像处理方法，兴趣区域提取，图像增强和静脉模式分割，以及通过关键点提取和匹配进行图像分类。除了引入一些限制以尽量减少不正确匹配的关键点外，还特别关注每个手类的多个训练图像的使用，以提高具有200多个手类的大型数据库的识别性能。本研究通过对2000多张手背静脉图像进行实验，将从每个手类的多张训练图像中提取的多个关键点集，根据其类间和类内的关系，组织成三个关键点集，即并集、交集集和排斥集，展示了每个关键点集对识别性能的贡献，并论证了三个关键点集结合实现100%正确识别的可行性。
This paper presents a biometric identification system based on near-infrared imaging of dorsal hand veins and matching of the keypoints that are extracted from the dorsal hand vein images by the scale-invariant feature transform. The whole system is covered in detail, which includes the imaging device used, image processing methods proposed for geometric correction, region-of-interest extraction, image enhancement and vein pattern segmentation, as well as image classification by extraction and matching of keypoints. In addition to several constraints introduced to minimise incorrectly matched keypoints, a particular focus is placed on the use of multiple training images of each hand class to improve the recognition performance for a large database with more than 200 hand classes. By organising multiple keypoint sets extracted from multiple training images of each hand class into three sets, namely, the union, the intersection and the exclusion, based on their inter-class and intra-class relationships, this study shows the contribution made by each set to the recognition performance and demonstrates the feasibility of achieving 100% correct recognition by combining the three sets, based on the experiments conducted using more than 2000 dorsal hand vein images.
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DOI：
10.11499/sicep.2004.0.115.1
发表时间：
2004-12
期刊：
SICE 2004 Annual Conference
影响因子：
--
作者：
T. Tanaka;N. Kubo
通讯作者：
T. Tanaka;N. Kubo
DOI：
10.1023/b:visi.0000029664.99615.94
发表时间：
2004-11-01
影响因子：
19.5
作者：
Lowe, DG
通讯作者：
Lowe, DG
DOI：
10.1007/0-387-23483-7
发表时间：
2005
期刊：
--
影响因子：
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作者：
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通讯作者：
Omid Omidvar
DOI：
10.1109/icma.2005.1626888
发表时间：
2005-07
期刊：
IEEE International Conference Mechatronics and Automation, 2005
影响因子：
--
作者：
Yuhang Ding;Dayan Zhuang;Ke-jun Wang
通讯作者：
Yuhang Ding;Dayan Zhuang;Ke-jun Wang
DOI：
10.1016/j.patcog.2007.07.012
发表时间：
2008-03
期刊：
Pattern Recognit.
影响因子：
--
作者：
Lingyu Wang;G. Leedham;Siu-Yeung Cho
通讯作者：
Lingyu Wang;G. Leedham;Siu-Yeung Cho