Liu Chongyu, Jian Cheng, Huang Jiarong, Yang Wentao, Shi Yongxin, Jiang Qing, Jin Lianwen
School of Electronic and Information Engineering, South China University of Technology, China.
SCUT-Zhuhai Institute of Modern Industrial Innovation, China.
Natl Sci Rev. 2023 Apr 25;10(6):nwad115. doi: 10.1093/nsr/nwad115. eCollection 2023 Jun.
This paper presents a novel and efficient algorithm for Chinese historical document understanding, incorporating three key components: a multi-oriented text detector, a dual-path learning-based text recognizer, and a heuristic-based reading order predictor.
本文提出了一种新颖且高效的用于理解中文历史文献的算法，该算法包含三个关键部分：一个多方向文本检测器、一个基于双路径学习的文本识别器以及一个基于启发式的阅读顺序预测器。
