Document Analysis and Recognition - ICDAR 2021 Workshops - Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I (Paperback, 1st ed. 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 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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Lecture Notes in Computer Science, 12916
Release date:	September 2021
First published:	2021
Editors:	Elisa H. Barney Smith • Umapada Pal
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	485
Edition:	1st ed. 2021
ISBN-13:	978-3-03-086197-1
Categories:	Books > Social sciences > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	3-03-086197-X
Barcode:	9783030861971

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!