You are viewing a javascript disabled version of the site. Please enable Javascript for this site to function properly.
Go to headerGo to navigationGo to searchGo to contentsGo to footer
In content section. Select this link to jump to navigation

An effective hand vein feature extraction method

Issue title: Papers from the 3rd International Conference on Biomedical Engineering and Technology (iCBEB 2014), 25–28 September 2014, Beijing, China

Subtitle:

Guest editors: Edward J. Ciaccio

Article type: Research Article

Authors: Li, Haigang* | Zhang, Qian | Li, Chengdong

Affiliations: School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China

Correspondence: [*] Corresponding author: Haigang Li, School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China. Tel.: +86 13952194041; E-mail:haigangli@cumt.edu.cn

Keywords: Vein recognition, image processing, region segmentation, feature extraction

DOI: 10.3233/THC-150971

Journal: Technology and Health Care, vol. 23, no. s2, pp. S343-S353, 2015

Published: 2015
Get PDF open access

Abstract

BACKGROUND: As a new authentication method developed years ago, vein recognition technology features the unique advantage of bioassay.

OBJECTIVE: This paper studies the specific procedure for the extraction of hand back vein characteristics.

METHODS: There are different positions used in the collecting process, so that a suitable intravenous regional orientation method is put forward, allowing the positioning area to be the same for all hand positions. In addition, to eliminate the pseudo vein area, the valley regional shape extraction operator can be improved and combined with multiple segmentation algorithms. The images should be segmented step by step, making the vein texture to appear clear and accurate. Lastly, the segmented images should be filtered, eroded, and refined. This process helps to filter the most of the pseudo vein information.

RESULTS: Finally, a clear vein skeleton diagram is obtained, demonstrating the effectiveness of the algorithm.

CONCLUSION: This paper presents a hand back vein region location method. This makes it possible to rotate and correct the image by working out the inclination degree of contour at the side of hand back.

Show more