中国医疗设备2025，Vol.40Issue(8)：13-19,63,8.DOI:10.3969/j.issn.1674-1633.20241689
基于OCR的药品信息识别系统设计
Design of Drug Information Recognition System Based on OCR
摘要
Abstract
Objective To solve the problems of low efficiency and high error rate of manual detection of the third phase information(batch number,production date and expiration date)of drug packaging in the traditional drug production process,this study designs an optical character recognition system by combining optical image optimization and deep learning algorithm improvement.Methods The hardware detection platform of multi-angle LED light source and industrial camera was built to enhance the image quality of imprinted characters by combining with photometric stereoscopic technology.The software algorithm adopted the improved DBNet detection model(integrated deformable convolution module and feature pyramid enhancement module-feature fusion module architecture)and ABINet recognition model with integrated deformable attention mechanism to improve the text detection and low-quality character recognition capability in complex scenes.Results The recognition accuracy of the system was 89.0%in the test of 1200 low-quality drug images,which was 3.7%higher than the traditional ABINet model.At the same time,in the production line measurement,the detection accuracy of 5 types of drug packaging reached more than 98.5%,the average system detection time was about 1/4 of the average manual detection time.Conclusion Through hardware imaging optimization and algorithm architecture innovation,this study effectively solves the problem of drug information recognition in pharmaceutical companies that is easy to make mistakes and difficult to control.关键词
药品信息识别/光度立体技术/光学字符识别/工业相机/特征增强/可变形注意力机制Key words
drug information identification/photometric stereoscopic technique/optical character recognition(OCR)/industrial cameras/feature enhancement/deformable attention mechanisms分类
医药卫生引用本文复制引用
张定华,马小强,赖佳华,官敬超,巢建树..基于OCR的药品信息识别系统设计[J].中国医疗设备,2025,40(8):13-19,63,8.基金项目
福厦泉国家自主创新示范区协同创新平台项目(2023FX0002) （2023FX0002）
福建省科技计划项目STS项目(2023T3042). （2023T3042）
