Barcode detection with morphological operations and clustering

Péter Bodnár, László G. Nyúl

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

8 Citations (Scopus)

Abstract

Barcode detection has many applications and detection methods. Each application has its own requirements for speed and detection accuracy. Fine-tuning, upgrading or combining existing methods gives fast and robust solutions for detection. Modern computer vision techniques help the whole process to be fully automated. Different detection approaches are examined in this paper, and new methods are introduced.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2012
Pages51-57
Number of pages7
DOIs
Publication statusPublished - Aug 8 2012
EventIASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2012 - Crete, Greece
Duration: Jun 18 2012Jun 20 2012

Publication series

NameProceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2012

Other

OtherIASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2012
CountryGreece
CityCrete
Period6/18/126/20/12

Keywords

  • Barcode detection
  • Clustering
  • Computer vision
  • Feature extraction

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Bodnár, P., & Nyúl, L. G. (2012). Barcode detection with morphological operations and clustering. In Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2012 (pp. 51-57). (Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2012). https://doi.org/10.2316/P.2012.778-014