

<?xml version="1.0" encoding="UTF-8"?>
<record>
  <title>Research on the Anti-perspective Correction Algorithm of QR Barcode</title>
  <journal>Journal of Digital Information Management</journal>
  <author>Jianhua Li, Yi-Wen Wang, YiJun Wang,Yi Chen, Guocheng Wang</author>
  <volume>11</volume>
  <issue>3</issue>
  <year>2013</year>
  <doi></doi>
  <url>http://dline.info/fpaper/jdim/v11i3/7.pdf</url>
  <abstract>2-D (2-dimension) bar code has many advantages compared with 1-D bar code, so it has many prevalent applications in recent days. However, there're several factors that affecting the sampling process, they lead to a certain degree of deformation towards the 2-D bar code. Furthermore, this deformation may too severe for 2-D bar code to be recognized. Generally, the main stream of twisted image correcting is based on the approach of control-point transformation. So how to locate the control point accurately becomes a key factor in 2-D bar code correcting. This paper develops a QR barcode searching graph and gets the precise location of control point. Experiment shows that our algorithm has good efficiency and accuracy.</abstract>
</record>
