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

Document Analysis and Recognition - ICDAR 2021 Workshops Image Processing, Computer Vision, Pattern Recognition, and Graphics Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I - Lecture Notes in Computer Science

1st Edition 2021

Paperback (04 Sep 2021)

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Publisher's Synopsis

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 contributions and divided into two volumes. Part I contains 29 full and 4 short papers that stem from the following meetings: 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). The main topics of the contributions are document processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; signature verification and document forensics, and others.

"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.

Book information

ISBN: 9783030861971
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st Edition 2021
Language: English
Number of pages: 485
Weight: 703g
Height: 235mm
Width: 155mm
Spine width: 26mm