{"title":"Research on Portable Multi-Bar Code Recognizer Based on Digital Image Processing Technology","authors":"Huang Huilin, Liu Tinghui","doi":"10.1109/ICAICA50127.2020.9182615","DOIUrl":null,"url":null,"abstract":"At present, in the logistics industry, the increasing number and speed of collecting product identifications in batches is an important link to improve the production efficiency of enterprises. Based on this, this paper uses multi-computers and high-definition cameras to use digital image processing technology to achieve multiple barcode collection, identification and storage. First of all, an overview of digital image processing technology is introduced, and its main features and advantages are introduced. Then the development process and current status of barcode recognition are analyzed. Finally, a multi-barcode identifier is designed and implemented. It mainly explains its camera selection, image pre-processing, multiple image stitching, single barcode segmentation, multiple barcode positioning, and motion scanning stitching. The instrument can be easily carried and used.","PeriodicalId":113564,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICA50127.2020.9182615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
At present, in the logistics industry, the increasing number and speed of collecting product identifications in batches is an important link to improve the production efficiency of enterprises. Based on this, this paper uses multi-computers and high-definition cameras to use digital image processing technology to achieve multiple barcode collection, identification and storage. First of all, an overview of digital image processing technology is introduced, and its main features and advantages are introduced. Then the development process and current status of barcode recognition are analyzed. Finally, a multi-barcode identifier is designed and implemented. It mainly explains its camera selection, image pre-processing, multiple image stitching, single barcode segmentation, multiple barcode positioning, and motion scanning stitching. The instrument can be easily carried and used.