Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms

Jiayi Zhang; Yue Liu

doi:10.1145/3611450.3611473

Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms

Jiayi Zhang, Yue Liu

Faculty of Applied Sciences

Macao Polytechnic University

研究成果: Conference contribution › 同行評審

摘要

The courier industry in China has grown quickly due to the rise of online shopping. However, courier notes can unavoidably become smudged or damaged during the delivery process, making it difficult to read the printed Chinese address information or recognize the barcodes. To solve this problem, this paper proposes an end-to-end solution to recognize damaged Chinese addresses: the CRNN model is trained for address recognition for damaged Chinese courier orders using a large Chinese address dataset generated via data augmentation and manual collection. And an address association algorithm is proposed to reduce the recognition errors at the provincial and municipal levels of the addresses. By applying this algorithm, the final accuracy is increased by 2% to 98.7%.

原文	English
主出版物標題	Conference Proceedings - 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023
發行者	Association for Computing Machinery
頁面	158-163
頁數	6
ISBN（電子）	9798400707605
DOIs	https://doi.org/10.1145/3611450.3611473
出版狀態	Published - 21 7月 2023
事件	3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023 - Beijing, China 持續時間: 21 7月 2023 → 23 7月 2023

出版系列

名字	ACM International Conference Proceeding Series

Conference

Conference	3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023
國家/地區	China
城市	Beijing
期間	21/07/23 → 23/07/23

存取文件

10.1145/3611450.3611473

其它文件與鏈接

Link to publication in Scopus

引用此

Zhang, J., & Liu, Y. (2023). Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms. 於 Conference Proceedings - 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023 (頁 158-163). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3611450.3611473

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title = "Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms",

abstract = "The courier industry in China has grown quickly due to the rise of online shopping. However, courier notes can unavoidably become smudged or damaged during the delivery process, making it difficult to read the printed Chinese address information or recognize the barcodes. To solve this problem, this paper proposes an end-to-end solution to recognize damaged Chinese addresses: the CRNN model is trained for address recognition for damaged Chinese courier orders using a large Chinese address dataset generated via data augmentation and manual collection. And an address association algorithm is proposed to reduce the recognition errors at the provincial and municipal levels of the addresses. By applying this algorithm, the final accuracy is increased by 2% to 98.7%.",

keywords = "CRNN, Chinese Address Dataset Generation, Chinese Address Recognition, Deep Learning",

author = "Jiayi Zhang and Yue Liu",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023 ; Conference date: 21-07-2023 Through 23-07-2023",

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doi = "10.1145/3611450.3611473",

language = "English",

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Zhang, J & Liu, Y 2023, Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms. 於 Conference Proceedings - 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023. ACM International Conference Proceeding Series, Association for Computing Machinery, 頁 158-163, 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023, Beijing, China, 21/07/23. https://doi.org/10.1145/3611450.3611473

Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms. / Zhang, Jiayi; Liu, Yue.
Conference Proceedings - 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023. Association for Computing Machinery, 2023. p. 158-163 (ACM International Conference Proceeding Series).

研究成果: Conference contribution › 同行評審

TY - GEN

T1 - Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms

AU - Zhang, Jiayi

AU - Liu, Yue

PY - 2023/7/21

Y1 - 2023/7/21

N2 - The courier industry in China has grown quickly due to the rise of online shopping. However, courier notes can unavoidably become smudged or damaged during the delivery process, making it difficult to read the printed Chinese address information or recognize the barcodes. To solve this problem, this paper proposes an end-to-end solution to recognize damaged Chinese addresses: the CRNN model is trained for address recognition for damaged Chinese courier orders using a large Chinese address dataset generated via data augmentation and manual collection. And an address association algorithm is proposed to reduce the recognition errors at the provincial and municipal levels of the addresses. By applying this algorithm, the final accuracy is increased by 2% to 98.7%.

AB - The courier industry in China has grown quickly due to the rise of online shopping. However, courier notes can unavoidably become smudged or damaged during the delivery process, making it difficult to read the printed Chinese address information or recognize the barcodes. To solve this problem, this paper proposes an end-to-end solution to recognize damaged Chinese addresses: the CRNN model is trained for address recognition for damaged Chinese courier orders using a large Chinese address dataset generated via data augmentation and manual collection. And an address association algorithm is proposed to reduce the recognition errors at the provincial and municipal levels of the addresses. By applying this algorithm, the final accuracy is increased by 2% to 98.7%.

KW - CRNN

KW - Chinese Address Dataset Generation

KW - Chinese Address Recognition

KW - Deep Learning

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U2 - 10.1145/3611450.3611473

DO - 10.1145/3611450.3611473

M3 - Conference contribution

AN - SCOPUS:85171257805

T3 - ACM International Conference Proceeding Series

SP - 158

EP - 163

BT - Conference Proceedings - 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023

PB - Association for Computing Machinery

T2 - 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023

Y2 - 21 July 2023 through 23 July 2023

ER -

Zhang J, Liu Y. Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms. 於 Conference Proceedings - 2023 3rd International Conference on Artificial Intelligence, Automation and Algorithms, AI2A 2023. Association for Computing Machinery. 2023. p. 158-163. (ACM International Conference Proceeding Series). doi: 10.1145/3611450.3611473

Deep Learning-based End-to-End Address Recognition Solution on Chinese Courier Order Forms

摘要

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Conference

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指紋

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