HTR-Flor: A Deep Learning System for Offline Handwritten Text Recognition-Reference-Cited by-同舟云学术

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HTR-Flor: A Deep Learning System for Offline Handwritten Text Recognition

Published:2020-11 Issue: Volume: Page:
ISSN:
Container-title:2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
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Author:

de Sousa Neto Arthur Flor,Bezerra Byron Leite Dantas,Toselli Alejandro Hector,Lima Estanislau Baptista

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9265968/9265969/09266005.pdf?arnumber=9266005

Cited by 31 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. Enhancing handwritten text recognition accuracy with gated mechanisms;Scientific Reports;2024-07-22

2. Recognizing text lines in handwritten archival document images using octave convolutional and attention recurrent neural networks;Multimedia Tools and Applications;2024-07-09

3. On the improvement of handwritten text line recognition with octave convolutional recurrent neural networks;International Journal on Document Analysis and Recognition (IJDAR);2024-02-20

4. Advancements and Challenges in Handwritten Text Recognition: A Comprehensive Survey;Journal of Imaging;2024-01-08

5. Efficient CRNN: Towards end-to-end low resource Urdu text recognition using depthwise separable convolutions and gated recurrent units;Information Processing & Management;2024-01

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