Convolutional Prototype Network for Open Set Recognition -hmyang, PAMI2020,code,code2
LCSegNet: An Efficient Semantic Segmentation Network for Large-Scale Complex Chinese Character Recognition -TMM2020
Radical analysis network for learning hierarchies of Chinese characters -Dujun, PR2020
LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation -Xu TB, PR2019
DenseRAN for Offline Handwritten Chinese Character Recognition -Wenchao Wang, Jianshu Zhang, Jun Du, Zi-Rui Wang, Yixing Zhu, arxiv, 2018
Drawing and recognizing chinese characters with recurrent neural network -XY Zhang, F Yin, YM Zhang, CL Liu, TPAMI2018
Trajectory-based Radical Analysis Network for Online Handwritten Chinese Character Recognition -Jianshu Zhang, Yixing Zhu, Jun Du, Lirong Dai, arxiv, 2018
Building fast and compact convolutional neural networks for offline handwritten Chinese character recognition -X Xiao, L Jin,et al, PR,2017
Toward high-performance online HCCR: a CNN approach with DropDistortion, path signature and spatial stochastic max-pooling -Songxuan Lai, Lianwen Jin, Weixin Yang, arxiv, 2017
Design of a Very Compact CNN Classifier for Online Handwritten Chinese Character Recognition Using DropWeight and Global Pooling -Xuefeng Xiao, et al, arxiv, 2017
Online and offline handwritten chinese character recognition: A comprehensive study and new benchmark -XY Zhang, Y Bengio, CL Liu,PR, 2017
Automatic labeling of large amounts of handwritten characters with gate-guided dynamic deep learning -YuliangLiu, LianwenJin, SongxuanLai, PRL2017
Radical-Based Chinese Character Recognition via Multi-Labeled Learning of Deep Residual Networks -Tie-Qiang Wang, Fei Yin, Cheng-Lin Liu, ICDAR2017
Radical analysis network for zero-shot learning in printed Chinese character recognition -Jianshu Zhang, Yixing Zhu, Jun Du, Lirong Dai, arxiv2017
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character Recognition -jinlianwen, PR2016
SCUT-CAB: A New Benchmark Dataset of Ancient Chinese Books with Complex Layouts for Document Layout Analysis -jinlianwen, ICFHR2022
Easter2.0: Improving convolutional models for handwritten text recognition -arxiv2022, code
PageNet: Towards End-to-End Weakly Supervised Page-Level Handwritten Chinese Text Recognition -jinlianwen, IJCV2022, code
Recognition of Handwritten Chinese Text by Segmentation: A Segment-annotation-free Approach -jinlianwen, TMM2022
Recognizing Handwritten Chinese Texts with Insertion and Swapping Using a Structural Attention Network -pal, ICDAR2021
Towards Fast, Accurate and Compact Online Handwritten Chinese Text Recognition -jinlianwen, ICDAR2021
Text-Conditioned Character Segmentation for CTC-Based Text Recognition -ICDAR2021
Searching from the Prediction of Visual and Language Model for Handwritten Chinese Text Recognition -ICDAR2021
Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel -ICDARW2021, code
A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks -access2021
Zero-Shot Chinese Text Recognition via Matching Class Embedding -jinlianwen, ICDAR2021
Recurrent neural network transducer for Japanese and Chinese offline handwritten text recognition -Masaki Nakagawa, arxiv2021
Full Page Handwriting Recognition via Image to Sequence Extraction -Turnitin LLC, arxiv2021
Fast multi-language LSTM-based online handwriting recognition -google, IJDAR2020
Offline Handwritten Chinese Text Recognition with Convolutional Neural Networks -intel, arxiv2020
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold -CVPR2020, code
Weakly Supervised Learning for Over-Segmentation Based Handwritten Chinese Text Recognition -liuchenglin, ICFHR2020
Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition -kang lei, arxiv2020
Joint Architecture and Knowledge Distillation in Convolutional Neural Network for Offline Handwritten Chinese Text Recognition -dujun, arxiv2019
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting -Masaki Nakagawa, arxiv2019
Compressing CNN-DBLSTM models for OCR with teacher-student learning and Tucker decomposition -huoqiang, PR2019
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network -Junho Jo, arxiv2019
A Fast and Accurate Fully Convolutional Network for End-to-End Handwritten Chinese Text Segmentation and Recognition -Lianwen Jin, ICDAR2019
A Scalable Handwritten Text Recognition System -google, arxiv2019
Manifold Mixup improves text recognition with CTC loss -a2ia, arxiv2019
Writer-Aware CNN for Parsimonious HMM-Based Offline Handwritten Chinese Text Recognition -Jun Du, PR2019
End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting -arxiv2019
A comprehensive study of hybrid neural network hidden Markov model for offline handwritten Chinese text recognition -Jun Du, IJDAR2018
SCUT-EPT: a New Dataset and Benchmark for Offline Chinese Text Recognition in Examination Paper -jinlianwen, IEEEAcess2018
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks -Mohamed Yousef, et al, arxiv2018
Handwriting Recognition in Low-resource Scripts using Adversarial Learning -Ayan Kumar Bhunia, et. al, CVPR2019code
Deep convolutional neural network based hidden Markov model for offline handwritten Chinese text recognition -Jun Du, ACPR2017
Scan, attend and read: End-to-end handwritten paragraph recognition with mdlstm attention -A2iA, ICDAR2017
Learning spatial-semantic context with fully convolutional recurrent network for online handwritten Chinese text recognition -Jinlianwen,et al,TPAMI,2017
Improving handwritten Chinese text recognition using neural network language models and convolutional neural network shape models -YC Wu, F Yin, CL Liu - PR, 2017
Multi-language online handwriting recognition -google, et al, TPAMI, 2017
Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks-Zhuo Chen, et al, ICDAR, 2017
Handwritten Chinese Text Recognition Using Separable Multi-Dimensional Recurrent Neural Network -Yi-Chao Wu, et al, ICDAR, 2017
Residual Recurrent Neural Network with Sparse Training for Offline Arabic Handwriting Recognition -Ruijie Yan, et al, ICDAR2017
Handwriting Recognition by Attribute Embedding and Recurrent Neural Networks -JI Toledo, et al, ICDAR2017
Compact and efficient WFST-based decoders for handwriting recognition -M Cai, Q Huo, ICDAR2017
A compact CNN-DBLSTM based character model for offline handwriting recognition with Tucker decomposition -H Ding, K Chen, ICDAR2017
A Compact CNN-DBLSTM Based Character Model for Online Handwritten Chinese Text Recognition -Huoqiang, ICDAR2017
High performance text recognition using a hybrid convolutional-lstm implementation -TM Breuel, ICDAR2017
Multi-layer recurrent neural network based offline Arabic handwriting recognition -L Chen, R Yan, L Peng, ICDAR2017
Quasi-Recurrent Neural Networks -salesforce, ICLR2017, code
Handwriting Recognition with Multi-gram language models -W Swaileh, ICDAR2017
Gated Convolutional Recurrent Neural Networks for Multilingual Handwriting Recognition -T Bluche, ICDAR2017
CNN-N-Gram for Handwriting Word Recognition -Arik Poznanski and Lior Wolf, CVPR2016
Deep Knowledge Training and Heterogeneous CNN for Handwritten Chinese Text Recognition -Fujitsu, ICFHR2016
Fully convolutional recurrent network for handwritten chinese text recognition -Z Xie, Z Sun, L Jin, Z Feng, ICPR2016
Convolutional Multi-directional Recurrent Network for Offline Handwritten Text Recognition -Z Sun, L Jin, Z Xie, Z Feng, ICFHR2016
Faster Segmentation-Free Handwritten Chinese Text Recognition with Character Decompositions -A2iA, ICFHR2016
Handwriting Recognition with Large Multidimensional Long Short-Term Memory Recurrent Neural Networks -Paul Voigtlaender, et al, ICFHR2016
On the benefits of convolutional neural network combinations in offline handwriting recognition -D Suryani, P Doetsch, H Ney, ICFHR2016
Segmentation-free handwritten Chinese text recognition with LSTM-RNN -A2iA, ICDAR2015
OCR software for recognition of handwritten text
Plain text to handwriting generator.
Synthetic data generation for Indic handwritten text recognition -Partha Pratim Roy, Akash Mohta, Bidyut B. Chaudhuri, arxiv2018
Chinese Typography Transfer -Jie Chang, Yujun Gu, arxiv2017
GNHK-dataset
SCUT-HCCDoc_Dataset
SCUT-EPT
SCUT-EnsText
TKH_MTH_Datasets
MTHv2_Datasets
CASIA Online and Offline Chinese Handwriting Databases
THE MNIST DATABASE of handwritten digits
The RIMES database-French
IAM Handwriting Database-English
Handwriting Database
IFN/ENIT-arabic database
A novel comprehensive database for offline Persian handwriting recognition - Persian handwriting database -J Sadri, MR Yeganehzad, PR2016
A database of unconstrained Vietnamese online handwriting and recognition experiments by recurrent neural networks - Vietnamese online handwriting database -PR2018
ICDAR 2017 Competition on Information Extraction in Historical Handwritten Records (IEHHR) -