Title
DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding
Abstract
ABSTRACTThis 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 open-source 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.
Year
DOI
Venue
2022
10.1145/3503161.3548547
International Multimedia Conference
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
12
Name
Order
Citations
PageRank
Qiao Liang17719.86
Hui Jiang200.68
Ying Chen300.68
Can Li400.68
Pengfei Li500.34
Zaisheng Li601.01
Baorui Zou700.34
Dashan Guo800.68
Yingda Xu900.34
Yunlu Xu10103.86
Zhanzhan Cheng11133.89
Yi Niu124619.65