标签文本识别在药品追溯中的应用

Application of Label Text Recognition in Drug Traceability

药品安全一直是社会关注的热点之一,随着物流追溯相关议题受到越来越多的青睐,两者如何结合应用也成为人们研究的话题。本文主要针对现阶段药品安全跟踪处理的需求,通过图像处理和卷积递归神经网络(Convolutional Recurrent Neural Network,CRNN)算法的标签文本识别方法,可以将相关文字信息等识别出来。实验结果表明:该方法在药品信息识别上具有良好的效果,对药品的安全与追溯方面有着很大的意义。

Drug safety has always been one of the hot spots of social concern.With the increasing popularity of logistics traceability related issues,how to combine the two has also become a research topic.Aiming at the demand of drug safety tracking processing at the present stage,this paper can recognize the relevant text information through image processing and label text recognition method based on Convolutional Recurrent Neural Network(CRNN)algorithm.The experimental results show that this method has a good effect on drug information recognition,and is of great significance to drug safety and traceability.