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2D Barcode Localization Using Multiple Features Mixture Model

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Advances in Computer Science and Ubiquitous Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 373))

Abstract

A 2D barcode region localization system for the automatic inspection of logistics objects has been developed. For the successful 2D barcode localization, variance and frequency of the pixel distribution within average 2D barcodes is modeled and the average model of 2D barcode is combined with the corner features detection to localize the final 2D barcode candidates. An automatic 2D barcode localization software was developed with the multiple features mixture method and we tested our system on real camera images of several popular 2D barcode symbologies.

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References

  1. Ouaviani, E., Pavan, A., Bottazzi, M., Brunelli, E., Caselli, F., Guerrero, M.: A common image processing framework for 2D barcode reading. In: 7th International Conference on Image Processing and Its Applications, vol. 2, pp. 652–655 (1999)

    Google Scholar 

  2. Jancke, G., Parikh, D.: Localization and segmentation of a 2D high capacity color barcode. In: Proc. 2008 IEEE Workshop on Applications of Computer Vision, pp. 1–6 (2008)

    Google Scholar 

  3. Tan, K.T., Chai, D., Kato, H.: Development of a novel finder pattern for effective color 2D-barcode detection. In: International Symposium on Parallel and Distributed Processing with Applications, pp. 1006–1013 (2008)

    Google Scholar 

  4. Hu, H., Xu, W., Huang, Q.: A 2D barcode extraction method based on texture direction analysis. In: Fifth International Conference on Image and Graphic, pp. 759–762 (2009)

    Google Scholar 

  5. Xu, W., McCloskey, S.: 2D barcode localization and motion deblurring using flutter shutter camera. In: IEEE Workshop on Applications of Computer Vision, pp. 159–165 (2011)

    Google Scholar 

  6. Otsu, N.: A Threshold Selection Method from Gray-Level Histogram. IEEE Transactions on Systems, Man, and Cybermetics 9(1), 62–66 (1979)

    Google Scholar 

  7. Ng, H.-F.: Automatic thresholding for defect detection. Pattern Recognition Letters 27(14), 1644–1649 (2006)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical, Electronic and Control, Hankyong National University, 327, Jungang-ro, Ansung-city, Kyonggi-do, Korea

    Myeongsuk Pak & Sanghoon Kim

Authors
  1. Myeongsuk Pak
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  2. Sanghoon Kim
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Corresponding author

Correspondence to Sanghoon Kim .

Editor information

Editors and Affiliations

  1. Department of Computer Software Engg..., Soonchunhyang University, Chungnam, Korea (Republic of)

    Doo-Soon Park

  2. I-Lan, Taiwan

    Han-Chieh Chao

  3. Dept. of Multimedia Eng., Dongguk University, Seoul, Korea (Republic of)

    Young-Sik Jeong

  4. Department of Computer Science and Engg., Seoul University of Science & Technology, Seoul, Korea (Republic of)

    James J. (Jong Hyuk) Park

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© 2015 Springer Science+Business Media Singapore

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Pak, M., Kim, S. (2015). 2D Barcode Localization Using Multiple Features Mixture Model. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_96

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  • DOI: https://doi.org/10.1007/978-981-10-0281-6_96

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0280-9

  • Online ISBN: 978-981-10-0281-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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