Document Analysis and Recognition - ICDAR 2021 Workshops - Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I

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.

List of contents

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).

Product details

• Assisted by: Elisa H. Barney Smith (Editor), Elis H Barney Smith (Editor), Elisa H Barney Smith (Editor), Pal (Editor), Pal (Editor), Umapada Pal (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 14.10.2021
• EAN: 9783030861971
• ISBN: 978-3-0-3086197-1
• No. of pages: 485
• Dimensions: 155 mm x 26 mm x 235 mm
• Illustrations: XX, 485 p. 283 illus., 203 illus. in color.
• Series: Lecture Notes in Computer Science; Image Processing, Computer Vision, Pattern Recognition, and Graphics
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Application software