Efficient Localization of Multitype Barcodes in High-Resolution Images

Barcode positioning technology is one of the important components of barcode technology. However, most of the current algorithms are only applicable to a single type of barcode positioning or limited to low-resolution images due to a large amount of calculation, and thereby it is still a challenge t...

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Bibliographic Details
Main Authors: Xiao, Y. (Author), Yi, J. (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02242nam a2200289Ia 4500
001 10.1155-2022-5256124
008 220425s2022 CNT 000 0 und d
020 |a 1024123X (ISSN) 
245 1 0 |a Efficient Localization of Multitype Barcodes in High-Resolution Images 
260 0 |b Hindawi Limited  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1155/2022/5256124 
520 3 |a Barcode positioning technology is one of the important components of barcode technology. However, most of the current algorithms are only applicable to a single type of barcode positioning or limited to low-resolution images due to a large amount of calculation, and thereby it is still a challenge to locate multitype barcodes in high-resolution images. In response to the above problems, this paper proposes a reliable multitype barcode localization method for multibarcode localization in high-resolution images where one-dimensional (1D) barcodes, two-dimensional (2D) barcodes, or multitype barcodes are present simultaneously. The method consists of three main steps: first, extracting multiple types of barcode features through a joint edge detection algorithm; next, marking target barcode regions with a bidirectional contour labeling method; and finally, extracting barcode regions by an improved affine transformation. The experimental results show that, in terms of localization accuracy, the proposed method has a better accuracy of 97.83% than existing algorithms in low-resolution images and can locate multitype barcodes in high-resolution images with an accuracy rate of 98.04%. Besides, in terms of time cost, the proposed method effectively reduces the time cost by 50% and improves the barcode localization efficiency. © 2022 Jinwang Yi and Yuanbiao Xiao. 
650 0 4 |a Bar codes 
650 0 4 |a Barcode technology 
650 0 4 |a 'current 
650 0 4 |a Edge detection 
650 0 4 |a High-resolution images 
650 0 4 |a Large amounts 
650 0 4 |a Localisation 
650 0 4 |a Localization method 
650 0 4 |a Low resolution images 
650 0 4 |a Multitype 
650 0 4 |a Positioning technologies 
650 0 4 |a Time cost 
700 1 |a Xiao, Y.  |e author 
700 1 |a Yi, J.  |e author 
773 |t Mathematical Problems in Engineering