i-manager Publications

A Module for Enhancing Recognition System for QR Code Scanned Image

Furat Nidhal*, Yasmine Mazin Tabra**

* Associate Lecturer, Baghdad University, Iraq National Cancer Research Center

** Assistant Lecturer, Al-Nahrain University, College of Information Engineering.

Periodicity:June - August'2012
DOI : https://doi.org/10.26634/jit.1.3.1904

Abstract

A QR code is a type of barcode that can hold more information than the familiar kind scanned at checkouts around the world. The “QR” stands for “quick response”, a reference to the speed at which the large amounts of information they contain can be decoded by scanners. They are being widely used for advertising campaigns, linking to company websites, contest sign-up pages and online menus. In this paper, we propose an efficient module to extract QR code from background and solve problem of rotation in case of inaccurate image taken from mobile camera.

Keywords

QR Code, Finder Pattern, Recognition System

How to Cite this Article?

Tawfeeq, F. N., and Tabra, Y. M. (2012). A Module For Enhancing Recognition System For Qr Code Scanned Image. i-manager’s Journal on Information Technology, 1(3),1-4. https://doi.org/10.26634/jit.1.3.1904

References

[1]. Food in China. National standards of QR code symbol. China Network, 2010.

[2]. Y. Chang, C. Chu and M. Chen, (2007). “A General Scheme for Extracting QR Code from a non-uniform background in Camera Phones and Applications”, National Taiwan University Taipei, Taiwan, ROC, IEEE Computer Society.

[3]. P. Kieseberg, M. Leithner, M. Mulazzani, L. Munroe, S. Schrittwieser, M. Sinha and E. Weippl, (2010). “QR Code Security”, November.

[4]. The MathWorks, Inc., “MATLAB Getting Started Guide”, March, 2012

[5]. “http://yumnam-kirani.hpage.co.in/ unsharp_masking_33996762.html”

[6]. C. Solomon and T. Breckon, (2011). “Fundamentals of digital image processing”, WILEY-BLACKWELL,

[7]. R.C. Gonzalez and R.E. Woods, (1992). “Digital Image Processing”, Addison-Wesley,

[8]. P.Y. Simard and H.S. Malvar, (2004). “An efficient binary image activity detector based on connected components”, Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing,

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A Module for Enhancing Recognition System for QR Code Scanned Image

Abstract

Keywords

How to Cite this Article?

References

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