基于阀值模型的条形码批量识别研究

Study of bar code batch recognition based on the threshold model

本文介绍了一种可以应用在考试中的条形码考生信息提取方案,在方案中提出了以条形码识别结果为导向,使用测试卡建立阀值模型以指导实际的条形码图像二值化的图像分割方法,并结合其它的数字图像处理技术,开发出能够忍受一定程度噪声和倾斜的条形码处理系统,最后给出系统在CODE128条形码型准考证中的大批量处理应用结果,系统在运行效率与性能上均已达到实用水平。

This paper presents a solution that can be applied to extract bar code information in test.A method of bar code identification results-oriented,using the test card to establish the threshold model to guide the actual bar code image binarization in image segmentation is presented,develops a bar code processing system in combine with other digital image processing technology that can tolerate a certain degree of noise and tilt,lastly the result of high-volume batch recognition in the admission ticket that based on CODE128 is given,the efficiency and performance of this system have been into practical use.