计算机与现代化Issue(4)：96-102,7.DOI:10.3969/j.issn.1006-2475.2025.04.015
基于DBNet与CRNN融合模型的卷烟激光码识别方法
Cigarette Laser Code Recognition Method Based on DBNet and CRNN Fusion Model
马琦 1文钰栋 1梁尚荣 2王可2
作者信息
- 1. 咸阳市烟草公司礼泉分公司,陕西 咸阳 713200
- 2. 西安建筑科技大学信息与控制工程学院,陕西 西安 710055
- 折叠
摘要
Abstract
Cigarette laser code recognition is an important means of tobacco inspection work.Aiming at the problem of low detec-tion and recognition rate due to the complex background of cigarette code,this paper proposes a cigarette code recognition method based on DBNet and CRNN.First,the DBNet model is used to detect the smoke code region,and the accurate position-ing and extraction of the cigarette code is realized by introducing differentiable binarization.Then,the CRNN model is used to identify the features of the cigarette code region image after positioning and cropping processing,and the spatial and temporal fea-tures are obtained by combining the VGG network and the deep Bi-LSTM network to realize the accurate identification of the cigarette code.Experimental result has an accuracy rate of 91.9%in detection,83.4%in recognition,the testing accuracy after deploying the mobile APP is 83.0%,which shows that the method proposed in this paper can provide accurate cigarette laser code recognition effect.关键词
卷烟激光码/目标检测/文本识别/DBNet/CRNNKey words
cigarette laser code/target detection/text recognition/DBNet/CRNN分类
信息技术与安全科学引用本文复制引用
马琦,文钰栋,梁尚荣,王可..基于DBNet与CRNN融合模型的卷烟激光码识别方法[J].计算机与现代化,2025,(4):96-102,7.
