A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme

Misun Ahn; Seunghyun Hong; Sungwon Lee

doi:10.1109/ICOIN.2015.7057912

A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme

Misun Ahn, Seunghyun Hong, Sungwon Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

This paper describes a method to recognize a Quick Response Code (QR) a novel. The QR Code is a two-dimensional code, which is currently used in various fields. According to the salient growth smartphone market, the recognition distance of QR Code is increased but the recognition angle is still limited. To tackle the issue, we propose a QR Code recognition method using 'cloud-based pre-generated image matching'. Our experimental results show the efficiency of the proposed method.

Original language	English
Title of host publication	2015 International Conference on Information Networking, ICOIN 2015
Publisher	IEEE Computer Society
Pages	356-357
Number of pages	2
ISBN (Electronic)	9781479983421
DOIs	https://doi.org/10.1109/ICOIN.2015.7057912
Publication status	Published - 10 Mar 2015
Event	2015 International Conference on Information Networking, ICOIN 2015 - Siem Reap, Cambodia Duration: 12 Jan 2015 → 14 Jan 2015

Publication series

Name	International Conference on Information Networking
Volume	2015-January
ISSN (Print)	1976-7684

Conference

Conference	2015 International Conference on Information Networking, ICOIN 2015
Country/Territory	Cambodia
City	Siem Reap
Period	12/01/15 → 14/01/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Cloud Computing
QR Code
Recognition

Access to Document

10.1109/ICOIN.2015.7057912

Cite this

Ahn, M., Hong, S., & Lee, S. (2015). A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme. In 2015 International Conference on Information Networking, ICOIN 2015 (pp. 356-357). Article 7057912 (International Conference on Information Networking; Vol. 2015-January). IEEE Computer Society. https://doi.org/10.1109/ICOIN.2015.7057912

@inproceedings{2da16d49d4c24f0ea748764ae2cd945f,

title = "A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme",

abstract = "This paper describes a method to recognize a Quick Response Code (QR) a novel. The QR Code is a two-dimensional code, which is currently used in various fields. According to the salient growth smartphone market, the recognition distance of QR Code is increased but the recognition angle is still limited. To tackle the issue, we propose a QR Code recognition method using 'cloud-based pre-generated image matching'. Our experimental results show the efficiency of the proposed method.",

keywords = "Cloud Computing, QR Code, Recognition",

author = "Misun Ahn and Seunghyun Hong and Sungwon Lee",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 International Conference on Information Networking, ICOIN 2015 ; Conference date: 12-01-2015 Through 14-01-2015",

year = "2015",

month = mar,

day = "10",

doi = "10.1109/ICOIN.2015.7057912",

language = "English",

series = "International Conference on Information Networking",

publisher = "IEEE Computer Society",

pages = "356--357",

booktitle = "2015 International Conference on Information Networking, ICOIN 2015",

address = "United States",

}

Ahn, M, Hong, S & Lee, S 2015, A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme. in 2015 International Conference on Information Networking, ICOIN 2015., 7057912, International Conference on Information Networking, vol. 2015-January, IEEE Computer Society, pp. 356-357, 2015 International Conference on Information Networking, ICOIN 2015, Siem Reap, Cambodia, 12/01/15. https://doi.org/10.1109/ICOIN.2015.7057912

A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme. / Ahn, Misun; Hong, Seunghyun; Lee, Sungwon.
2015 International Conference on Information Networking, ICOIN 2015. IEEE Computer Society, 2015. p. 356-357 7057912 (International Conference on Information Networking; Vol. 2015-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme

AU - Ahn, Misun

AU - Hong, Seunghyun

AU - Lee, Sungwon

PY - 2015/3/10

Y1 - 2015/3/10

N2 - This paper describes a method to recognize a Quick Response Code (QR) a novel. The QR Code is a two-dimensional code, which is currently used in various fields. According to the salient growth smartphone market, the recognition distance of QR Code is increased but the recognition angle is still limited. To tackle the issue, we propose a QR Code recognition method using 'cloud-based pre-generated image matching'. Our experimental results show the efficiency of the proposed method.

AB - This paper describes a method to recognize a Quick Response Code (QR) a novel. The QR Code is a two-dimensional code, which is currently used in various fields. According to the salient growth smartphone market, the recognition distance of QR Code is increased but the recognition angle is still limited. To tackle the issue, we propose a QR Code recognition method using 'cloud-based pre-generated image matching'. Our experimental results show the efficiency of the proposed method.

KW - Cloud Computing

KW - QR Code

KW - Recognition

UR - http://www.scopus.com/inward/record.url?scp=84940515455&partnerID=8YFLogxK

U2 - 10.1109/ICOIN.2015.7057912

DO - 10.1109/ICOIN.2015.7057912

M3 - Conference contribution

AN - SCOPUS:84940515455

T3 - International Conference on Information Networking

SP - 356

EP - 357

BT - 2015 International Conference on Information Networking, ICOIN 2015

PB - IEEE Computer Society

T2 - 2015 International Conference on Information Networking, ICOIN 2015

Y2 - 12 January 2015 through 14 January 2015

ER -

A research on the QR Code recognition improvement using the cloud-based pre-generated image matching scheme

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this