| 一种基于图像处理的一维条码快速定位技术 |
| |
| 作者姓名： | 纪琴琴 黄鲁 |
| |
| 作者单位： | 1. 中国科学技术大学微电子学院, 合肥 230027;
2. 中国科学技术大学信息科学技术学院, 合肥 230027 |
| |
| 基金项目： | 国家自然科学基金（61472380）资助 |
| |
| 摘 要： | 基于数字图像处理技术实现一维条形码的快速定位。对输入的灰度图进行边缘检测和二值化等图像处理，通过数学形态学处理得到条形码候选区域，并利用梯度特征提取候选区域的边缘线；最后利用条形码条空的平行性对边缘线区域进行筛选，定位条形码区域。本文算法在WWU Muenster和ArTe-Lab条码图片数据集上进行测试，实验表明，本算法比现有的算法更快，因此，更适合部署在实时应用上。
|
| 关 键 词： | 图像处理 梯度特征 边缘线提取 条形码定位 |
| 收稿时间： | 2018-03-21 |
| 修稿时间： | 2018-05-22 |
1D barcode fast localization technology based on image processing |
| |
| Authors: | JI Qinqin HUANG Lu |
| |
| Institution: | 1. College of Microelectronics, University of Science and Technology of China, Hefei 230027, China;
2. School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, China |
| |
| Abstract: | In this paper we demonstrate the implementation of the fast localization of 1D-barcode based on digital image processing techniques. First, we conduct the edge detection and binary quantization on the input image. Then, we use digital morphological processing to obtain the candidate region of the barcode and adopt the gradient feature to extract the edge line of the region. Finally, we select the area of the barcode by utilizing the fact that the blank areas are parallel to each other. The algorithm is tested on two barcode data sets:WWU Muenster and ArTe-Lab. The results show that our algorithm is faster than the existing algorithms and therefore is more suitable for real-time applications. |
| |
| Keywords: | image processing gradient feature edge line extraction barcode localization |
|
| 点击此处可从《》浏览原始摘要信息 |
| 点击此处可从《》下载免费的PDF全文 |
|
