Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

Research of Localization Algorithm Based on Multi-QR Code

Authors
Yong-feng Huang, Zhen Xue, Cai-rong Yan
Corresponding Author
Yong-feng Huang
Available Online March 2017.
DOI
10.2991/amcce-17.2017.67How to use a DOI?
Keywords
QR code,multi-QR code recognition,position detection pattern,center points grouping
Abstract

Location - aware Service based on QR code is widely used in the large complex indoor environment because of its strong anti-interference ability, wide coverage and high positioning accuracy.For the situation that the QR code position sensing process may exist multi-QR code, an multi-QR code localization algorithm is proposed. We use QR code module size,version number and other characteristics of the code information to group these position detection pattern center points,which based on the existing QR code detection center point detection algorithm and can be proved to identify multi-QR code.In the case,the recognition rate is about 94%.

Copyright
© 2017, 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 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.67
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.67How to use a DOI?
Copyright
© 2017, 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  - Yong-feng Huang
AU  - Zhen Xue
AU  - Cai-rong Yan
PY  - 2017/03
DA  - 2017/03
TI  - Research of Localization Algorithm Based on Multi-QR Code
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 382
EP  - 385
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.67
DO  - 10.2991/amcce-17.2017.67
ID  - Huang2017/03
ER  -