14 May 2017 A belief-propagation-based decoding method for two-dimensional barcodes with monochrome auxiliary lines robust against non-uniform geometric distortion
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Proceedings Volume 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017; 1033805 (2017) https://doi.org/10.1117/12.2266848
Event: The International Conference on Quality Control by Artificial Vision 2017, 2017, Tokyo, Japan
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.
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Kohei Kamizuru, Kohei Kamizuru, Kazuya Nakamura, Kazuya Nakamura, Hiroshi Kawasaki, Hiroshi Kawasaki, Satoshi Ono, Satoshi Ono, } "A belief-propagation-based decoding method for two-dimensional barcodes with monochrome auxiliary lines robust against non-uniform geometric distortion", Proc. SPIE 10338, Thirteenth International Conference on Quality Control by Artificial Vision 2017, 1033805 (14 May 2017); doi: 10.1117/12.2266848; https://doi.org/10.1117/12.2266848
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