基于机器视觉的物流包装条码特征快速提取与识别方法研究

Research on Fast Extraction and Recognition Methods of Barcode Features of Logistics Packaging Based on Machine Vision

随着技术的进步,特别是机器视觉技术的迅猛发展,条码的读取与识别已经不再依赖于传统的条码扫描器。机器视觉为条码的快速、准确和自动化读取提供了新的技术路径。然而,复杂的物流环境、不同的包装材料以及各种环境因素(如光线、遮挡)会影响机器视觉系统的性能。文章对基于机器视觉的物流包装条码特征快速提取与识别方法展开深入研究,以期为实际物流场景中的条码识别提供一种更为高效和准确的技术手段。

With the advancement of technology,especially the rapid development of machine vision technology,the reading and recognition of barcodes no longer rely on traditional barcode scanners.Machine vision provides a new technological path for the fast,accurate,and automated reading of barcodes.However,complex logistics environments,different packaging materials,and various environmental factors(such as light and occlusion)can affect the performance of machine vision systems.This paper conducts in-depth research on the fast extraction and recognition methods of logistics packaging barcode features based on machine vision,hoping to provide a more efficient and accurate technical means for barcode recognition in practical logistics application scenarios.