Document Analysis and Recognition – ICDAR 2021 Workshops : Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I / / edited by Elisa H. Barney Smith, Umapada Pal

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (498 pages)
• Disciplina: 621.367
• Soggetto topico: 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
• Persona (resp. second.): Barney SmithElisa H.; PalUmapada
• Nota di contenuto: 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).
• Sommario/riassunto: “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.
• Titolo autorizzato: Document analysis and recognition - ICDAR 2021 workshops
• ISBN: 3-030-86198-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910497084103321
• Lo trovi qui: Univ. Federico II
• Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics, . 3004-9954 ; ; 12916