Efficient 1D and 2D barcode detection using mathematical morphology

Melinda Katona, L. Nyúl

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

10 Citations (Scopus)

Abstract

Barcode technology is essential in automatic identification, and is used in a wide range of real-time applications. Different code types and applications impose special problems, so there is a continuous need for solutions with improved performance. Several methods exist for code localization, that are well characterized by accuracy and speed. Particularly, high-speed processing places need reliable automatic barcode localization, e.g. conveyor belts and automated production, where missed detections cause loss of profit. Our goal is to detect automatically, rapidly and accurately the barcode location with the help of extracted image features. We propose a new algorithm variant, that outperforms in both accuracy and efficiency other detectors found in the literature using similar ideas, and also improves on the detection performance in detecting 2D codes compared to our previous algorithm.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages464-475
Number of pages12
Volume7883 LNCS
DOIs
Publication statusPublished - 2013
Event11th International Symposium on Mathematical Morphology, ISMM 2013 - Uppsala, Sweden
Duration: May 27 2013May 29 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7883 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Symposium on Mathematical Morphology, ISMM 2013
CountrySweden
CityUppsala
Period5/27/135/29/13

Fingerprint

Mathematical morphology
Mathematical Morphology
Profitability
Detectors
Profit
High Speed
Processing
Detector
Real-time
Range of data

Keywords

  • barcode detection
  • bottom-hat filter
  • distance map
  • morphological operations

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Katona, M., & Nyúl, L. (2013). Efficient 1D and 2D barcode detection using mathematical morphology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7883 LNCS, pp. 464-475). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7883 LNCS). https://doi.org/10.1007/978-3-642-38294-9_39

Efficient 1D and 2D barcode detection using mathematical morphology. / Katona, Melinda; Nyúl, L.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7883 LNCS 2013. p. 464-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7883 LNCS).

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

Katona, M & Nyúl, L 2013, Efficient 1D and 2D barcode detection using mathematical morphology. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 7883 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7883 LNCS, pp. 464-475, 11th International Symposium on Mathematical Morphology, ISMM 2013, Uppsala, Sweden, 5/27/13. https://doi.org/10.1007/978-3-642-38294-9_39
Katona M, Nyúl L. Efficient 1D and 2D barcode detection using mathematical morphology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7883 LNCS. 2013. p. 464-475. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-38294-9_39
Katona, Melinda ; Nyúl, L. / Efficient 1D and 2D barcode detection using mathematical morphology. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7883 LNCS 2013. pp. 464-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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