Document Analysis and Recognition – ICDAR 2021 Workshops
Document Analysis and Recognition – ICDAR 2021 Workshops

Author: Elisa H. Barney Smith

Publisher: Springer Nature

Published: 2021-09-03

Total Pages: 541

ISBN-13: 3030861597

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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).

Document Analysis and Recognition – ICDAR 2021
Document Analysis and Recognition – ICDAR 2021

Author: Josep Lladós

Publisher: Springer Nature

Published: 2021-09-03

Total Pages: 758

ISBN-13: 3030863344

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This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports. The papers are organized into the following topical sections: extracting document semantics, text and symbol recognition, document analysis systems, office automation, signature verification, document forensics and provenance analysis, pen-based document analysis, human document interaction, document synthesis, and graphs recognition.

Document Analysis and Recognition - ICDAR 2023
Document Analysis and Recognition - ICDAR 2023

Author: Gernot A. Fink

Publisher: Springer Nature

Published: 2023-08-18

Total Pages: 568

ISBN-13: 3031417348

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This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.

Document Analysis and Recognition – ICDAR 2023 Workshops
Document Analysis and Recognition – ICDAR 2023 Workshops

Author: Mickael Coustaty

Publisher: Springer Nature

Published: 2023-08-14

Total Pages: 344

ISBN-13: 3031414985

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This two-volume set LNCS 14193-14194 constitutes the proceedings of International Workshops co-located with the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, during August 21–26, 2023. The total of 43 regular papers presented in this book were carefully selected from 60 submissions. Part I contains 22 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Computational Paleography (IWCP); ICDAR 2023 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2023 International Workshop on Graphics Recognition (GREC); ICDAR 2023 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); Part II contains 21 regular papers that stem from the following workshops: ICDAR 2023 Workshop on Machine Vision and NLP for Document Analysis (VINALDO); ICDAR 2023 International Workshop on Machine Learning (WML).

Document Analysis Systems
Document Analysis Systems

Author: Seiichi Uchida

Publisher: Springer Nature

Published: 2022-05-17

Total Pages: 795

ISBN-13: 3031065557

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This book constitutes the refereed proceedings of the 15th IAPR International Workshop on Document Analysis Systems, DAS 2022, held in La Rochelle, France, in May 2022. The full papers presented were carefully reviewed and selected from numerous submissions addressing key techniques of document analysis.

Document Layout Analysis
Document Layout Analysis

Author: Showmik Bhowmik

Publisher: Springer Nature

Published: 2023-07-31

Total Pages: 92

ISBN-13: 9819942772

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Document layout analysis (DLA) is a crucial step towards the development of an effective document image processing system. In the early days of document image processing, DLA was not considered as a complete and complex research problem, rather just a pre-processing step having some minor challenges. The main reason for that is the type of layout being considered for processing was simple. Researchers started paying attention to this complex problem as they come across a large variety of documents. This book presents a clear view of the past, present, and future of DLA, and it also discusses two recent methods developed to address the said problem.