An Efficient Bar Code Image Recognition Algorithm for Sorting System  

作　　者：Desheng Zheng Ziyong Ran Zhifeng Liu Liang Li Lulu Tian 

机构地区：[1]School of Computer Science,Research Center for Cyber Security,Southwest Petroleum University,Chengdu,610500,China [2]College of Information and Software Engineering,UESTC,Chengdu,611731,China [3]Brunel University London,Uxbridge,Middlesex UB83PH,UK

出　　处：《Computers, Materials & Continua》2020年第9期1885-1895,共11页计算机、材料和连续体（英文）

基　　金：This work was supported by Scientific Research Starting Project of SWPU[Zheng,D.,No.0202002131604];Major Science and Technology Project of Sichuan Province[Zheng,D.,No.8ZDZX0143];Ministry of Education Collaborative Education Project of China[Zheng,D.,No.952];Fundamental Research Project[Zheng,D.,Nos.549,550].

摘　　要：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.

关 键 词：Bar code recognition Hough transformation BINARIZATION image processing 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]