The challenges of recognizing offline handwritten Chinese: A technical review

L Shen, B Chen, J Wei, H Xu, SK Tang, S Mirri - Applied Sciences, 2023 - mdpi.com
Offline handwritten Chinese recognition is an important research area of pattern recognition,
including offline handwritten Chinese character recognition (offline HCCR) and offline …

A survey of historical document image datasets

K Nikolaidou, M Seuret, H Mokayed… - International Journal on …, 2022 - Springer
This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …

Pagenet: Towards end-to-end weakly supervised page-level handwritten chinese text recognition

D Peng, L Jin, Y Liu, C Luo, S Lai - International Journal of Computer …, 2022 - Springer
Handwritten Chinese text recognition (HCTR) has been an active research topic for
decades. However, most previous studies solely focus on the recognition of cropped text line …

Rd-gan: Few/zero-shot chinese character style transfer via radical decomposition and rendering

Y Huang, M He, L Jin, Y Wang - … Conference, Glasgow, UK, August 23–28 …, 2020 - Springer
Style transfer has attracted much interest owing to its various applications. Compared with
English character or general artistic style transfer, Chinese character style transfer remains a …

Joint layout analysis, character detection and recognition for historical document digitization

W Ma, H Zhang, L Jin, S Wu, J Wang… - 2020 17th International …, 2020 - ieeexplore.ieee.org
In this paper, we propose an end-to-end trainable framework for restoring historical
documents content that follows the correct reading order. In this framework, two branches …

M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark

Y Shi, C Liu, D Peng, C Jian… - Advances in Neural …, 2024 - proceedings.neurips.cc
Recognizing and organizing text in correct reading order plays a crucial role in historical
document analysis and preservation. While existing methods have shown promising …

CASIA-AHCDB: A large-scale Chinese ancient handwritten characters database

Y Xu, F Yin, DH Wang, XY Zhang… - 2019 International …, 2019 - ieeexplore.ieee.org
This paper introduces a Chinese Ancient Handwritten Characters Database (CASIA-
AHCDB) for character recognition research. The database was built by annotating 11,937 …

A review on character recognition and information retrieval from ancient inscriptions

R Vijayalakshmi, JM Gnanasekar - 2022 8th International …, 2022 - ieeexplore.ieee.org
In today's digital age, there is a need to digitize ancient images and documents, the ancient
periods from stone inscriptions reveals the cultural history and helps to preserve and …

Knowledge-Enhanced Historical Document Segmentation and Recognition

EH Gao, YX Huang, WC Hu, XH Zhu… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
Abstract Optical Character Recognition (OCR) of historical document images remains a
challenging task because of the distorted input images, extensive number of uncommon …

[HTML][HTML] Weakly supervised precise segmentation for historical document images

Z Xie, Y Huang, L Jin, Y Liu, Y Zhu, L Gao, X Zhang - Neurocomputing, 2019 - Elsevier
With the passing of history, precious cultural heritage was left behind to tell ancient stories,
especially those in the form of written documents. In this paper, a weakly supervised …