Document Analysis and Recognition - ICDAR 2021 Workshops [electronic resource] : Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I / edited by Elisa H. Barney Smith, Umapada Pal.
Contributor(s): Barney Smith, Elisa H [editor.]
| Pal, Umapada [editor.] | SpringerLink (Online service).
Material type: 
BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 12916Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XX, 485 p. 283 illus., 203 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030861988.Subject(s): 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 RetrievalAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006 Online resources: Click here to access online 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.
There are no comments for this item.