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  • 标题:Research on Distortion Correction of QR Code Images
  • 本地全文:下载
  • 作者:Jiejing Zhou ; Yunfei Liu ; Amit Kumar
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2012
  • 卷号:3
  • 期号:1
  • 页码:415-420
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:The QR code (Quick Response code) is a two-dimensionalbarcode which can be stored quite complex and large data andbe decoded very fast. In this paper, a new distortion correctionmethod is proposed to correct distorted QR code images taken bymobile phones adaptively. Firstly, the QR code image is fltered.Then, the gradient-based Hough Transform (HT) is modifed toshorten the processing time and preserve enough information whendetecting the contour lines of QR code symbol. An algorithm foracquiring the four vertices of QR code is proposed during theprocess. At last, the Inverse Perspective Transformation (IPT)and gray level interpolation are performed. Experiments showthat this algorithm can achieve satisfactory results under variousacquisition situations.
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