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High-speed barcode recognition system based on OpenCV and Zbar

  • HIT Harbin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In recent years, the logistics industry has developed rapidly and many goods arriving at warehouse are clued for unloading.In order to reduce the occurrence of this phenomenon, it is an effective way to speed up the circulation speed of express delivery at freight stations and reduce goods information acquisition time. This paper proposes a high speed barcode recognition system and the choice of double gradient direction gradient difference and the adaptive threshold according to light intensity are added to this system. The overall development environment is under the Ubuntu system, mainly using OpenCV and Zbar. This system enables barcodes to be recognized accurately at a high speed. In the experiments, we use barcodes provided from SF Express and find that barcodes can be accurately recognized at 3m/s regardless of barcodes placement at any angle. This verifies the effectiveness of the system.

Original languageEnglish
Title of host publicationEleventh International Conference on Digital Image Processing, ICDIP 2019
EditorsJenq-Neng Hwang, Xudong Jiang
PublisherSPIE
ISBN (Electronic)9781510630758
DOIs
StatePublished - 2019
Externally publishedYes
Event11th International Conference on Digital Image Processing, ICDIP 2019 - Guangzhou, China
Duration: 10 May 201913 May 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11179
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference11th International Conference on Digital Image Processing, ICDIP 2019
Country/TerritoryChina
CityGuangzhou
Period10/05/1913/05/19

Keywords

  • Adaptive threshold
  • Barcode recognition
  • High speed

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