End-to-end attention convolutional recurrent network for online handwritten Chinese text recognition

X Qu, Z Wu, J Huang - Multimedia Tools and Applications, 2024 - Springer
Online handwritten Chinese text recognition (OHCTR) has been a challenging problem due
to the large character set, diverse writing styles and variable text line length. The existing …

In-air handwritten chinese text recognition with attention convolutional recurrent network

Z Wu, X Qu, J Huang, X Wu - International Conference on Multimedia …, 2023 - Springer
In-air handwriting is a new and more humanized way of human-computer interaction, which
has a broad application prospect. One of the existing online handwritten Chinese text …

Learning spatial-semantic context with fully convolutional recurrent network for online handwritten chinese text recognition

Z Xie, Z Sun, L Jin, H Ni, T Lyons - IEEE transactions on pattern …, 2017 - ieeexplore.ieee.org
Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it
involves a large-scale character set, ambiguous segmentation, and variable-length input …

Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition

H Ni, Z Xie, T Lyons, L Jin, Z Sun - IEEE Transactions on Pattern …, 2017 - discovery.ucl.ac.uk
Online handwritten Chinese text recognition (OHCTR) is a challenging problem as it
involves a large-scale character set, ambiguous segmentation, and variable-length input …

[PDF][PDF] End-to-end handwritten Chinese paragraph text recognition using residual attention networks

Y Wang, Y Yang, H Chen, H Zheng… - Intelligent Automation & …, 2022 - cdn.techscience.cn
Handwritten Chinese recognition which involves variant writing style, thousands of character
categories and monotonous data mark process is a longterm focus in the field of pattern …

Attention augmented convolutional recurrent network for handwritten Japanese text recognition

NT Ly, CT Nguyen, M Nakagawa - 2020 17th International …, 2020 - ieeexplore.ieee.org
Handwritten Japanese text recognition is still a big challenging task due to the large
character set, diversity of writing styles, and multiple-touches between characters. In this …

A residual-attention offline handwritten Chinese text recognition based on fully convolutional neural networks

Y Wang, Y Yang, W Ding, S Li - IEEE Access, 2021 - ieeexplore.ieee.org
Offline handwritten Chinese text recognition is one of the most challenging tasks in that it
involves various writing styles, complex character-touching, and large number of character …

Fast and robust online handwritten Chinese character recognition with deep spatial and contextual information fusion network

Y Li, Q Yang, Q Chen, B Hu, X Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deep convolutional neuralnetworks have achieved fairly high accuracy for single online
handwritten Chinese character recognition (SOLHCCR). However, in real application …

2D self-attention convolutional recurrent network for offline handwritten text recognition

NT Ly, HT Nguyen, M Nakagawa - International Conference on Document …, 2021 - Springer
Offline handwritten text recognition is still a big challenging problem due to various
backgrounds, noises, diversity of writing styles, and multiple touches between characters. In …

Offline handwritten Chinese text recognition with convolutional neural networks

B Liu, X Xu, Y Zhang - arXiv preprint arXiv:2006.15619, 2020 - arxiv.org
Deep learning based methods have been dominating the text recognition tasks in different
and multilingual scenarios. The offline handwritten Chinese text recognition (HCTR) is one …