A belief-propagation-based decoding method for two-dimensional barcodes with monochrome auxiliary lines robust against non-uniform geometric distortion

Kohei Kamizuru, Kazuya Nakamura, Hiroshi Kawasaki, Satoshi Ono

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Two-dimensional (2D) codes are widely used for various fields such as production, logistics, and marketing thanks to their larger capacity than one-dimensional barcodes. However, they are subject to distortion when printed on non-rigid materials, such as papers and clothes. Although general 2D code decoders correct uniform distortion such as perspective distortion, it is difficult to correct non-uniform and irregular distortion of the 2D code itself. This paper proposes a decoding method for the 2D code, which models monochrome auxiliary line recognition as Markov random field, and solves it using belief propagation.

Original languageEnglish
Title of host publicationThirteenth International Conference on Quality Control by Artificial Vision 2017
EditorsAtsushi Yamashita, Hajime Nagahara, Kazunori Umeda
PublisherSPIE
ISBN (Electronic)9781510611214
DOIs
Publication statusPublished - Jan 1 2017
Externally publishedYes
Event13th International Conference on Quality Control by Artificial Vision, QCAV 2017 - Tokyo, Japan
Duration: May 14 2017May 16 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10338
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

Other13th International Conference on Quality Control by Artificial Vision, QCAV 2017
CountryJapan
CityTokyo
Period5/14/175/16/17

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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