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Document Analysis and Recognition - ICDAR 2021 Workshops de Umapada Pal

Document Analysis and Recognition - ICDAR 2021 Workshops: Image Processing, Computer Vision, Pattern Recognition, and Graphics

Editat de Umapada Pal, Elisa H. Barney Smith
en Limba Engleză Paperback – 4 sep 2021
This book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.
The total of 59 full and 12 short papers presented in this book were carefully selected from 96 submissions and divided into two volumes. Part II contains 30 full and 8 short papers that stem from the following meetings: Workshop on Machine Learning (WML); Workshop on Open Services and Tools for Document Analysis (OST); Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR); Workshop on Computational Paleography (IWCP); Workshop on Document Images and Language (DIL); Workshop on Graph Representation Learning for Scanned Document Analysis (GLESDO).
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Specificații

ISBN-13: 9783030861582
ISBN-10: 3030861589
Pagini: 564
Ilustrații: XX, 541 p. 261 illus., 170 illus. in color.
Dimensiuni: 155 x 235 x 31 mm
Greutate: 0.84 kg
Ediția:1st edition 2021
Editura: Springer
Seria Image Processing, Computer Vision, Pattern Recognition, and Graphics

Locul publicării:Cham, Switzerland

Cuprins

ICDAR 2021 Workshop on Machine Learning (WML).- ICDAR 2021 Workshop on Open Services and Tools for Document Analysis (OST).- ICDAR 2021 Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR).- ICDAR 2021 Workshop on Computational Paleography (IWCP).- ICDAR 2021 Workshop on Document Images and Language (DIL).- ICDAR 2021 Workshop on Graph Representation Learning for Scanned Document Analysis (GLESDO).


Textul de pe ultima copertă

“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.