Document Analysis and Recognition – ICDAR 2021 Workshops [electronic resource] : Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I /
Material type: TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 12916Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XX, 485 p. 283 illus., 203 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9783030861988
- Image processing -- Digital techniques
- Computer vision
- Machine learning
- Database management
- Natural language processing (Computer science)
- Social sciences -- Data processing
- Information storage and retrieval systems
- Computer Imaging, Vision, Pattern Recognition and Graphics
- Machine Learning
- Database Management
- Natural Language Processing (NLP)
- Computer Application in Social and Behavioral Sciences
- Information Storage and Retrieval
- 006 23
- TA1501-1820
- TA1634
ICDAR 2021 Workshop on Graphics Recognition (GREC) -- ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR) -- ICDAR 2021 Workshop on Arabic and Derived Script Analysis and Recognition (ASAR 2021) -- ICDAR 2021 Workshop on Computational Document Forensics (IWCDF).
“Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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