基于数字图像处理技术的便携式多条码识别器研究

Huang Huilin, Liu Tinghui
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引用次数: 0

摘要

目前,在物流行业中,批量收集产品标识的数量和速度的不断提高是提高企业生产效率的重要环节。基于此,本文利用多台计算机和高清摄像机,采用数字图像处理技术,实现多重条码采集、识别和存储。首先对数字图像处理技术进行了概述,介绍了数字图像处理技术的主要特点和优势。然后分析了条码识别的发展历程和现状。最后,设计并实现了一个多条码识别器。主要阐述了它的摄像头选择、图像预处理、多幅图像拼接、单幅条码分割、多幅条码定位、运动扫描拼接。该仪器便于携带和使用。
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Research on Portable Multi-Bar Code Recognizer Based on Digital Image Processing Technology
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.
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