@Article{cmc.2020.010070,
AUTHOR = {Desheng Zheng, Ziyong Ran, Zhifeng Liu, Liang Li, Lulu Tian},
TITLE = {An Efficient Bar Code Image Recognition Algorithm for Sorting  System},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {3},
PAGES = {1885--1895},
URL = {http://www.techscience.com/cmc/v64n3/39465},
ISSN = {1546-2226},
ABSTRACT = {In the sorting system of the production line, the object movement, fixed angle 
of view, light intensity and other reasons lead to obscure blurred images. It results in bar 
code recognition rate being low and real time being poor. Aiming at the above problems, 
a progressive bar code compressed recognition algorithm is proposed. First, assuming 
that the source image is not tilted, use the direct recognition method to quickly identify 
the compressed source image. Failure indicates that the compression ratio is improper or 
the image is skewed. Then, the source image is enhanced to identify the source image 
directly. Finally, the inclination of the compressed image is detected by the barcode 
region recognition method and the source image is corrected to locate the barcode 
information in the barcode region recognition image. The results of multitype image 
experiments show that the proposed method is improved by 5+ times computational 
efficiency compared with the former methods, and can recognize fuzzy images better.},
DOI = {10.32604/cmc.2020.010070}
}