Title :
A method of image analysis for QR code recognition
Author :
Liao, Zhao-Lai ; Huang, Ting-Lei ; Wang, Rui ; Zhou, Xiao-Yan
Author_Institution :
Sch. of Comput. Sci.& Eng., GuiLin Univ. of Electron. Technol., Guilin, China
Abstract :
The QR code is a kind of two dimensional barcode, and is invented by a Denso-Wave company in Japan. QR comes from the abbreviation of “Quick Response”, and it can recognize in all locations. This article describes the basic principle and algorithm of distortion and geometry revision on images when QR is recognizing. Then according to the symbol structure of QR code, a effective method of getting image central coordinates and rotation is brought up. The experiments indicate that the algorithm can effectively deal with mage rotation and geometry correction.
Keywords :
computational geometry; image recognition; Denso-Wave company; QR code recognition; distortion revision; geometry correction; geometry revision; image analysis method; image central coordinates; image central rotation; quick response; two dimensional barcode; Context; Graphics; Image recognition; Tagging; Hough transform; QR code; correction; rotation;
Conference_Titel :
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-6834-8
DOI :
10.1109/ICISS.2010.5657187
