An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings-Reference-Cited by-同舟云学术

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An End-to-End Approach for Recognition of Modern and Historical Handwritten Numeral Strings

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:2020 International Joint Conference on Neural Networks (IJCNN)
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Author:

Hochuli Andre G.,Britto Alceu S.,Barddal Jean P.,Sabourin Robert,Oliveira Luiz E. S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9200848/9206590/09207468.pdf?arnumber=9207468

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On usage of an end-to-end deep neural architecture for handwritten digit string recognition;Signal, Image and Video Processing;2024-01-18

2. Online Recognition of Manually Spray-Printed Ladle Numbers in Complex Dynamic Environments;IEEE Transactions on Instrumentation and Measurement;2024

3. Recognition of digital sequences using convolutional neural networks;Program Systems: Theory and Applications;2023-08-13

4. A Novel YoloV5 Deep Learning Model for Handwriting Detection and Recognition;International Journal on Artificial Intelligence Tools;2022-12-16

5. Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

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