JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 29 Issue 4
July 2014
Article Contents
HU Zhi-hong, LI Jun-tao and LI Kai. The application research of QR code image correction[J]. Journal of Light Industry, 2014, 29(4): 73-76. doi: 10.3969/j.issn.2095-476X.2014.04.017
Citation: HU Zhi-hong, LI Jun-tao and LI Kai. The application research of QR code image correction[J]. Journal of Light Industry, 2014, 29(4): 73-76. doi: 10.3969/j.issn.2095-476X.2014.04.017 shu

The application research of QR code image correction

  • Received Date: 2014-02-27
    Available Online: 2014-07-15
  • When collecting the QR code image,the inclined or geometric distortion often occured.To solve this problem,a correction method combined the QR code feature,image rotation and image maps was proposed.This method,firstly,used the position detection patterns to detect tilt aberration after conventional image pre-processing and run length encoding;Secondly,selected the appropriate method by tilt aberration to correct the image;Thirdly,used grid and statistical methods to extract information and complete the decoding.The results showed that the method was simple and had a high rate of recognition.The computation of floating-point was small,so it could be used in embedded system.
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