Tobacco Retail License Recognition Based on Dual Attention Mechanism

被引:0
作者
Shan, Yuxiang [1 ]
Ren, Qin [2 ]
Wang, Cheng [2 ]
Wang, Xiuhui [3 ]
机构
[1] Chinese Tobacco Zhejiang Ind Co Ltd, Informat Ctr, Hangzhou, Peoples R China
[2] Chinese Tobacco Zhejiang Ind Co Ltd, Hangzhou, Peoples R China
[3] China Jiliang Univ, Dept Comp, Hangzhou, Peoples R China
来源
JOURNAL OF INFORMATION PROCESSING SYSTEMS | 2022年 / 18卷 / 04期
关键词
Attention Mechanism; Image Recognition; Robot Process Automation (RPA);
D O I
10.3745/JIPS.02.0177
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Images of tobacco retail licenses have complex unstructured characteristics, which is an urgent technical problem in the robot process automation of tobacco marketing. In this paper, a novel recognition approach using a double attention mechanism is presented to realize the automatic recognition and information extraction from such images. First, we utilized a DenseNet network to extract the license information from the input tobacco retail license data. Second, bi-directional long short-term memory was used for coding and decoding using a continuous decoder integrating dual attention to realize the recognition and information extraction of tobacco retail license images without segmentation. Finally, several performance experiments were conducted using a largescale dataset of tobacco retail licenses. The experimental results show that the proposed approach achieves a correction accuracy of 98.36% on the ZY-LQ dataset, outperforming most existing methods.
引用
收藏
页码:480 / 488
页数:9
相关论文
共 50 条
  • [31] Facial Expression Recognition Based on Multiscale Features and Attention Mechanism
    Yao, Lisha
    AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2024, 58 (04) : 429 - 440
  • [32] Multiple premises entailment recognition based on attention and gate mechanism
    Wu, Pin
    Lei, Zhidan
    Zhou, Quan
    Zhu, Rukang
    Chang, Xuting
    Sun, Junwu
    Zhang, Wenjie
    Guo, Yike
    EXPERT SYSTEMS WITH APPLICATIONS, 2020, 147 (147)
  • [33] Food Recognition Model Based on Deep Learning and Attention Mechanism
    He, Lili
    Cai, Zhiwei
    Ouyang, Dantong
    Bai, Hongtao
    2022 8TH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING AND COMMUNICATIONS, BIGCOM, 2022, : 331 - 341
  • [34] Image Recognition for Transmission Lines Based on Stereo Attention Mechanism
    Li Y.
    Li Z.
    Xu Y.
    Wang W.
    Jiang X.
    Gaodianya Jishu/High Voltage Engineering, 2023, 49 (08): : 3437 - 3445
  • [35] Image Steganalysis Network Based on Dual-Attention Mechanism
    Zhang, Xuanbo
    Zhang, Xinpeng
    Feng, Guorui
    IEEE SIGNAL PROCESSING LETTERS, 2023, 30 : 1287 - 1291
  • [36] A Discriminative Dual-Stream Model With a Novel Sustained Attention Mechanism for Skeleton-Based Human Action Recognition
    Liang, Zhihong
    Shi, Xiaoshan
    Zhang, Yanxin
    Liu, Bo
    IEEE ACCESS, 2020, 8 (08): : 208395 - 208406
  • [37] Forest Fire Recognition by Improved EfficientNet-E Model Based on ECA Attention Mechanism
    Zhou L.
    Fan K.
    Qu H.
    Zhang D.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2024, 52 (02): : 42 - 49
  • [38] The Vehicle License Plate Color Detection Algorithm Optimized Based on a Parameter-Free Attention Mechanism
    Shi, Chenpeng
    Xu, Jianrong
    Zhang, Chao
    Wang, Sen
    Liu, Yuming
    Zhang, Xiaoyong
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ALGORITHMS, SOFTWARE ENGINEERING, AND NETWORK SECURITY, ASENS 2024, 2024, : 102 - 110
  • [39] An attention mechanism based convolutional LSTM network for video action recognition
    Ge, Hongwei
    Yan, Zehang
    Yu, Wenhao
    Sun, Liang
    MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (14) : 20533 - 20556
  • [40] Automatic visual recognition for leaf disease based on enhanced attention mechanism
    Yao, Yumeng
    Deng, Xiaodun
    Zhang, Xu
    Li, Junming
    Sun, Wenxuan
    Zhang, Gechao
    PEERJ COMPUTER SCIENCE, 2024, 10