基于Halcon图像分析的快递信息识别

Express Information Recognition Based on Halcon Image Analysis

本文基于Halcon的图像分析,发展对快递面单的图像进行获取、分割、提取有效特征的方法,实现对快递面单的信息识别技术,并验证其有效性与准确性。研究首先通过工业相机获取快递面单照片,然后创建一维模型,检测条码首尾空白区域,并利用拉普拉斯算子提取条码边缘轮廓,获取条码类型、信息,进行识别判读。结果发现快递面单一维码信息识别与真正的快递单号结果一致,验证Halcon软件应用于快递面单信息识别技术确实可行,能够以机器视觉的识别方式取代快递的人工分捡工作。

Based on Halcon image analysis technology, this paper develops the methods of acquiring, segmenting and extracting effective features from the images of express information sheets, realizes the information recognition technology of express information sheets, and verifies its effectiveness and accuracy. Firstly, the photo of express information sheet is obtained by industrial camera, then a one-dimensional code model is created to detect the blank area at the beginning and end of the bar code, and the edge contour of the bar code is extracted by Laplace operator to obtain the type and information of the bar code. The results of this research show that the one-dimensional code information recognition of express order is consistent with the real express order number. It is verified that the application of Halcon software to express information sheet recognition technology is indeed feasible, and can replace the manual sorting of express with the recognition method of machine vision.