Accurate localization of 2D barcode marked in mental parts under complex background based on edge and level-set

Gaifang Guo, Weiping He, Xiashuang Li, Jian Wang, Zhenfang Wu

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Aimed at the difficult location issue of two-dimensional barcode marked in metal parts resulted from complex background and uneven illumination etc., this paper proposed an accurate localization method of 2D barcode marked in mental parts under complex background based on edge and level-set. First, the “L” edges of 2D barcode was located by line detection. Next, an improved level-set image segmentation was proposed to segment the probable barcode area, while the contour feature, gray and gradient histogram doublet features were used to judge if the probable barcode area had barcode or not. Finally, the 2D barcode area was accuratly located using Hough transform. The experimental result shows that the accuracy of the proposed method can reach up to 95%, and the processing time is less than 1 s, indicating that the proposed method is promising.

Original languageEnglish
Pages (from-to)90-97
Number of pages8
JournalShanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University
Volume51
Issue number1
DOIs
StatePublished - 1 Jan 2017

Keywords

  • 2-dimensional (2D) barcode
  • Accurate localization
  • Complex background
  • Level-set
  • Line detection
  • Mental part

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