In this paper we demonstrate the implementation of the fast localization of 1D-barcode based on digital image processing techniques. First, we conduct the edge detection and binary quantization on the input image. Then, we use digital morphological processing to obtain the candidate region of the barcode and adopt the gradient feature to extract the edge line of the region. Finally, we select the area of the barcode by utilizing the fact that the blank areas are parallel to each other. The algorithm is tested on two barcode data sets:WWU Muenster and ArTe-Lab. The results show that our algorithm is faster than the existing algorithms and therefore is more suitable for real-time applications.
JI Qinqin
,
HUANG Lu
. 1D barcode fast localization technology based on image processing[J]. Journal of University of Chinese Academy of Sciences, 2019
, 36(5)
: 716
-720
.
DOI: 10.7523/j.issn.2095-6134.2019.05.018
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