Have a personal or library account? Click to login
Comparing the impact of different cameras and image resolution to recognize the data matrix codes Cover

Comparing the impact of different cameras and image resolution to recognize the data matrix codes

Open Access
|Sep 2018

References

  1. [1] L. Karrach and E. Pivarčiová, “Data Matrix Code Location Marked with Laser on Surface of Metal Tools”, Acta facultatis technicae vol. 22, no, 2, 2017, pp. 29–38.
  2. [2] L. Karrach and E. Pivarčiová, “The Analyse of the Various Methods for Location of Data Matrix Codes Images”, Elektro 2018: 12th International Conference Mikulov, 2018.10.1109/ELEKTRO.2018.8398250
  3. [3] Q. Huang. W-S. Chen, X-Y. Huang and Y-Y Zhu, “Data Matrix Code Location Based on Finder Pattern Detection and”, Mathematical Problems in Engineering, 2012.10.1155/2012/515296
  4. [4] J. B. Burns, R. Hansona and M. Risemane, “Extracting Straight Lines”, IEEE Transactions on Pattern Analysis and Machine Intelligence 1986.10.1109/TPAMI.1986.4767808
  5. [5] R. G. von Gioi, J. Jakubowicz, J. M. Morel and G. Randall, “LSD: a Fast Line Segment Detector with a False Detection Control”, IEEE Transactions on Pattern Analysis and Machine Intelligence 2010.10.1109/TPAMI.2008.300
  6. [6] H. Donghong, T. Hui and C. Xinmeng, “Radon Transformation Applied Two Dimensional Barcode Image Recognition”, Journal of Wuhan University 2005.
  7. [7] Z. Chenguang, Y. Na and H. Rukun, “Study of Two Dimensional Barcode Identification Technology based on Hough Transform”, Journal of Changchun Normal University 2007.
  8. [8] Jeng-An, Lin and Chiou-Shann Fuh, “2D Barcode Image Decoding”, Mathematical Problems in Engineering 2013.10.1155/2013/848276
  9. [9] P. Gaur and S. Tiwari, “Recognition of 2D Barcode Images Using Edge Detection and Morphological Operation”, International Journal of Computer Science and Mobile Computing 2014.
  10. [10] S. Li, J. Shang, Z. Duan and J. Huang, “Fast Detection Method of Quick Response Code based on Run-Length Coding”, IET Image Processing vol. 12, no. 4, 2018, pp. 546–551.10.1049/iet-ipr.2017.0677
  11. [11] D. K. Hansen and K. Nasrollahi, “Real-Time Barcode Detection and Classification Using Deep Learning”, 9th International Joint Conference on Computational Intelligence 2017.10.5220/0006508203210327
  12. [12] D. Bradley and G. Roth, “Adaptive Thresholding Using the Integral Image”, Journal of Graphics Tools 2007.10.1080/2151237X.2007.10129236
  13. [13] W. Niblack, “An Introduction to Digital Image Processing”, 1986.
  14. [14] J. Sauvola and M. Pietikainen, “Adaptive Document Image Binarization”, Pattern Recognition vol. 33, 2000, pp. 225–236.10.1016/S0031-3203(99)00055-2
  15. [15] A. Rosenfeld and J. Pfaltz, “Sequential Operations Digital Image Processing”, J. ACM 1966, pp. 471–494.10.1145/321356.321357
  16. [16] M. Laughton, “Open Source Software for Reading and Writing Data Matrix Barcodes” 2011, <https://github.com/dmtx>.
  17. [17] Google, “ZXing” (“Zebra Crossing”) Barcode Scanning Library for Java Android”, <https://github.com/zxing>, Accessed April 12, 2018.
  18. [18] On Barcode, “NET Barcode Reader Component” URL: http://www.onbarcode.com/products/net barcode reader, Accessed April 12, 2018.
  19. [19] “Dynamsoft, Barcode Reader SDK”, URL: https://www.dynamsoft.com/Products/Dynamic-Barcode-Reader.aspx, Accessed April 12, 2018.
  20. [20] Leadtools, “Data Matrix SDK”, URL: https://www.leadtools.com/sdk/barcode/2d-datamatrix, Accessed April 12, 2018.
  21. [21] Inlite Research Inc. “Barcode Reader SDK”, URL: https://online-barcode-reader.inliteresearch.com, Accessed April 12, 2018.
  22. [22] Y. Turygin, P. Božek, Y. Nikitin, E. Sosnovich and A. Abramov, “Enhancing the Reliability of Mobile Robots Control Process via Reverse Validation”, International Journal of Advanced Robotic Systems vol. 13, no. 6, 2016, pp. 1–8.10.1177/1729881416680521
  23. [23] P. Božek, “Robot Path Optimization for Spot Welding Applications Automotive Industry”, Tehnicki Vjesnik – Technical Gazette vol. 20, no. 5, 2013, pp. 913–917.
  24. [24] D. Brodić, “Text Line Segmentation with Water Flow Algorithm based on Power Function”, Journal of Electrical Engineering vol. 66, no. 3, 2015, pp. 132–141.10.2478/jee-2015-0021
  25. [25] D. Brodić and Z. N. Milivojević, “Text Line Segmentation with the Algorithm based on the Oriented Anisotropic Gaussian Kernel”, Journal of Electrical Engineering vol. 64, no. 4, 2013, pp. 238–24.10.2478/jee-2013-0034
DOI: https://doi.org/10.2478/jee-2018-0040 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 286 - 292
Submitted on: Mar 6, 2018
|
Published on: Sep 19, 2018
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2018 Ladislav Karrach, Elena Pivarčiová, Yury Rafailovich Nikitin, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.