DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding

Liang Qiao; Hui Jiang; Ying Chen; Can Li; Pengfei Li; Zaisheng Li; Baorui Zou; Dashan Guo; Yingda Xu; Yunlu Xu; Zhanzhan Cheng; Yi Niu

DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding

Computer Vision and Pattern Recognition 2022-07-15 v1

Authors: Liang Qiao , Hui Jiang , Ying Chen , Can Li , Pengfei Li , Zaisheng Li , Baorui Zou , Dashan Guo , Yingda Xu , Yunlu Xu , Zhanzhan Cheng , Yi Niu

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Abstract

This paper presents DavarOCR, an open-source toolbox for OCR and document understanding tasks. DavarOCR currently implements 19 advanced algorithms, covering 9 different task forms. DavarOCR provides detailed usage instructions and the trained models for each algorithm. Compared with the previous opensource OCR toolbox, DavarOCR has relatively more complete support for the sub-tasks of the cutting-edge technology of document understanding. In order to promote the development and application of OCR technology in academia and industry, we pay more attention to the use of modules that different sub-domains of technology can share. DavarOCR is publicly released at https://github.com/hikopensource/Davar-Lab-OCR.

Keywords

handwritten character recognition

Cite

@article{arxiv.2207.06695,
  title  = {DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding},
  author = {Liang Qiao and Hui Jiang and Ying Chen and Can Li and Pengfei Li and Zaisheng Li and Baorui Zou and Dashan Guo and Yingda Xu and Yunlu Xu and Zhanzhan Cheng and Yi Niu},
  journal= {arXiv preprint arXiv:2207.06695},
  year   = {2022}
}

Comments

Short paper, Accept by ACM MM2022

DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding

Abstract

Keywords

Cite

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