Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)

2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)

📍Guangzhou, China🗓️ 26-27 December 2015

Kinect's Opisthenar Vein Image Acquisition Method

Authors
Lian Zhang, Zixiang Gao, Yongxiu Zhou
Corresponding Author
Lian Zhang
Available Online January 2016.
DOI
10.2991/ifeea-15.2016.26How to use a DOI?
Keywords
Kinect; opisthenar vein; median filter; template matching; ROI
Abstract

Although the current opisthenar vein image acquisition is less demanding, but practical applications often require special equipment, this paper describes a theme based on Microsoft Kinect sensors opisthenar vein acquisition. Using Microsoft's Kinect sensor to collect the opisthenar vein image, introducing correlation-based template matching and ROI two extraction algorithms to get the effective area, after processing, to give a clear opisthenar vein image. Inspection of the acquired image under Matlab environment proves it to be a quick,simple, and easy to implement solution.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
Series
Advances in Engineering Research
Publication Date
January 2016
ISBN
978-94-6252-153-7
ISSN
2352-5401
DOI
10.2991/ifeea-15.2016.26How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lian Zhang
AU  - Zixiang Gao
AU  - Yongxiu Zhou
PY  - 2016/01
DA  - 2016/01
TI  - Kinect's Opisthenar Vein Image Acquisition Method
BT  - Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
PB  - Atlantis Press
SP  - 128
EP  - 132
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeea-15.2016.26
DO  - 10.2991/ifeea-15.2016.26
ID  - Zhang2016/01
ER  -