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《Journal of Shaoyang University(Natural Science Edition)》 2018-05
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Research on Barcode Recognition Based on LVQ Neural Network

SHU Dasong;Department of Mechanical and Electrical Engineering,Hunan Radio and TV University;  
Barcode recognition is an important part of information management. It has a broad application prospect in warehousing,logistics,supermarket charging,commodity supervision and management,etc. It is impossible to establish an accurate mathematical model. To solve this problem,the LVQ neural network which can simulate human thinking was used to identify the barcode and the LVQ neural network recognizer was established on the platform of Matlab. Through training and testing,it is proved that the LVQ neural network recognizer can recognize bar code efficiently and accurately.
【Fund】: 湖南省教育厅科研资助项目(14C0780)
【CateGory Index】: TP391.44;TP183
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