Belief-propagation-based robust decoding for two-dimensional barcodes to overcome distortion and occlusion and its extension to multi-view decoding

Kamizuru, Kohei; Kawakami, Yudai; Kawasaki, Hiroshi; Ono, Satoshi

doi:10.1109/icip.2015.7351224

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…Unlike previous work [4], it is difficult to trace the lines because the auxiliary lines used in this work is not colored.…”

Section: A Overviewmentioning

confidence: 91%

“…The proposed method locates 2D codes by adopting a Center Surround Extremas (CenSurE) detector [8], which uses a simplified bi-level kernel as a center-surround filter. This filter works considerably well for locating the 2D code because of the code's latticed lines [4].…”

Section: A Overviewmentioning

confidence: 99%

“…The authors have proposed a 2D code with colored auxiliary lines and its decode method [4]. This 2D code allows decoding distorted 2D code by compensating distortion that is recognized by tracing the lines.…”

Section: Introductionmentioning

confidence: 99%

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Agent-based two-dimensional barcode decoding robust against non-uniform geometric distortion

Nakamura

Kawasaki

Ono

2015

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)

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Two-dimensional (2D) codes are assumed to be printed on flat planes and 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 2D code itself. To cope with this problem, this paper proposes an agent-based approach to reconstruct 2D code. In this approach, auxiliary lines are given to a 2D code and used to recognize the distortion. First, the proposed method finds 2D code area using feature patterns composed by the auxiliary lines, and looks for finder patterns by Convolutional Neural Network (CNN). Then, many agents simultaneously trace the lines referring various image features and neighborhood agents. Feature weights are optimized by Genetic Algorithm. Experimental results showed that the proposed method has prospects that it can decode distorted 2D code without occlusion.

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“…Unlike previous work [4], it is difficult to trace the lines because the auxiliary lines used in this work is not colored.…”

Section: A Overviewmentioning

confidence: 91%

Section: A Overviewmentioning

confidence: 99%

See 1 more Smart Citation

Agent-based two-dimensional barcode decoding robust against non-uniform geometric distortion

Nakamura

Kawasaki

Ono

2015

2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)

Self Cite

View full text Add to dashboard Cite

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“…Although not 3D, a remarkable belief-propagation-based method was used by Kamizuru et al (2015) for the recognition of distortion and occluded areas, and for identifying barcode lines. Despite its complexity, it overcame highly irregular, nonuniform, and non-periodical distortions better; especially occurring in barcodes printed on paper, cloth, etc.…”

Section: Current Status Of the Knowledgementioning

confidence: 99%

Color Barcodes from Debut to Present: A Broad Survey on the State of the Art

SİRMEN

Ustundag

2023

Alphanumeric Journal

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Efficiently transferring information, which is of major importance for almost all engineering systems, requires a data representative appropriate to maintain the density and consistency of the information dispatched. As such a machine-readable representation of data, barcodes are one of the most recognized and powerful instruments of the purpose in every domain. Likewise, from the perspective of engineering, colors are excellent sources of information exchange, since the transmission of color connotes the conveyance of its entire scalar attributes in the same spatial channel component. Exerting colors on barcodes as an effective way of bursting the data conveyance capacity has been an active area of research for over 50 years. Significant progress has been achieved through efforts in this regard. It is also envisagable that the evident evolution in related technologies exoterically empowers the enhancement of color barcode capabilities as capacity and reliability, thereby further encouraging prospected research in this direction. Herein, a comprehensive survey of the studies on this main area of interest is presented. To help better acquainted with the field, also a taxonomy of the peculiar interference sources and distortion effects is provided, besides, the 3D barcoding process itself and the research areas are described. Most of the relevant works from debut to the present are broadly examined. Rather than presenting a timeline, studies that pertain to similar issues are addressed together. Amongst those related, premising or pivotal ones are preferably cited as far as feasible. Moreover, all perused works are analyzed by the research areas and the results are presented. Also, the issues relatively more prominent as affecting the performance of the whole process are specified. In the conclusion, some of the research subjects that appear open, scarce, or require further elaboration were remarked on as well. It is anticipated this study to contribute to the efforts toward leveraging color in barcodes.

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Analysis of Recent Trends in Automatic Object Identification

Williams

Mahapatra

2019

2019 International Conference on Computational Science and Computational Intelligence (CSCI)

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Belief-propagation-based robust decoding for two-dimensional barcodes to overcome distortion and occlusion and its extension to multi-view decoding

Cited by 5 publications

References 11 publications

Agent-based two-dimensional barcode decoding robust against non-uniform geometric distortion

Agent-based two-dimensional barcode decoding robust against non-uniform geometric distortion

Color Barcodes from Debut to Present: A Broad Survey on the State of the Art

Analysis of Recent Trends in Automatic Object Identification

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