JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Tobacco Retail License Recognition Based on Dual Attention Mechanism |
| 영문제목(English Title) |
Tobacco Retail License Recognition Based on Dual Attention Mechanism |
| 저자(Author) |
Yuxiang Shan
Qin Ren
Cheng Wang
Xiuhui Wang
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| 원문수록처(Citation) |
VOL 18 NO. 04 PP. 0480 ~ 0488 (2022. 08) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
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. |
| 키워드(Keyword) |
Attention Mechanism
Image Recognition
Robot Process Automation (RPA)
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| 파일첨부 |
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