基于条形码的新型商品序列码研究  

Research on new commodity sequence code based on bar code

作　　者：闵锦涛 许涛 高正明 丁海南 李敏[1] Min jin tao;xu tao;gao zheng ming;ding hai nan;li min(school of computer engineering,jingchu university of technology,jingmen 448004,China)

机构地区：[1]荆楚理工学院计算机工程学院,湖北荆门448004

出　　处：《电子工程学院学报》2019年第9期224-225,共2页Journal of The College of Electronic Engineering

基　　金：湖北省高校学生工作精品一般资助项目(2019XGJPB3013);荆楚理工学院教学研究项目(JX2019-008,JX2019-034)。

摘　　要：本文主要论述了一种针对条形码的不足而设计的新型序列码的生成及识别设计理念,该系统通过HTML和css以及Python控制序列码的生成与显示,调用OpenCV对图像进行处理、卷积神经网络实现序列码识别分类,从而实现的一物一码功能可以使得人们更加追求商品的定制化和差异性服务,以及商家企业想要获取更多有用户价值的信息来优化和调整自己的产品和战略。this paper mainly describes a kind of new designed aiming at the shortcomings of the barcode sequence code generation and recognition design idea,the system through the HTML and CSS and Python,according to the control sequence code generation and call OpenCV image processing,convolution neural network to realize sequence code identification classification,so as to realize the content a yard function can make people more the pursuit of product customization and differentiated services,and business enterprises want to get more information of the user value to optimize and adjust their product and strategy.

关 键 词：序列码 卷积神经网络 图像识别 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]