Camera-Based Document Analysis and Recognition
Title | Camera-Based Document Analysis and Recognition PDF eBook |
Author | Masakazu Iwamura |
Publisher | Springer Science & Business Media |
Pages | 180 |
Release | 2012-04-13 |
Genre | Computers |
ISBN | 3642293638 |
This book constitutes the thoroughly refereed post-workshop-proceedings of the 4th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2011, held in Beijing, China, in September 2011. The 13 revised full papers presented were carefully selected during a second round of reviewing and improvement from numerous original submissions. Intended to give a snapshot of the state-of-the-art research in the field of camera based document analysis and recognition, the papers are organized in topical sections on text detection and recognition in scene images, camera-based systems, and datasets and evaluation.
Document Analysis and Recognition – ICDAR 2023 Workshops
Title | Document Analysis and Recognition – ICDAR 2023 Workshops PDF eBook |
Author | Mickael Coustaty |
Publisher | Springer Nature |
Pages | 344 |
Release | 2023-08-14 |
Genre | Computers |
ISBN | 3031414985 |
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 and Recognition – ICDAR 2023 Workshops
Title | Document Analysis and Recognition – ICDAR 2023 Workshops PDF eBook |
Author | Mickael Coustaty |
Publisher | Springer Nature |
Pages | 339 |
Release | 2023-08-14 |
Genre | Computers |
ISBN | 3031415019 |
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).
Camera-Based Document Analysis and Recognition
Title | Camera-Based Document Analysis and Recognition PDF eBook |
Author | Masakazu Iwamura |
Publisher | Springer |
Pages | 191 |
Release | 2014-03-18 |
Genre | Computers |
ISBN | 3319051679 |
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2013, held in Washington, DC, USA, in August 2013. The 14 revised full papers presented were carefully selected during two rounds of reviewing and improvement from numerous original submissions. Intended to give a snapshot of the state-of-the-art research in the field of camera based document analysis and recognition, the papers are organized in topical sections on text detection and recognition in scene images and camera-based systems.
Camera-Based Document Analysis and Recognition
Title | Camera-Based Document Analysis and Recognition PDF eBook |
Author | Masakazu Iwamura |
Publisher | Springer |
Pages | 180 |
Release | 2012-04-12 |
Genre | Computers |
ISBN | 3642293646 |
This book constitutes the thoroughly refereed post-workshop-proceedings of the 4th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2011, held in Beijing, China, in September 2011. The 13 revised full papers presented were carefully selected during a second round of reviewing and improvement from numerous original submissions. Intended to give a snapshot of the state-of-the-art research in the field of camera based document analysis and recognition, the papers are organized in topical sections on text detection and recognition in scene images, camera-based systems, and datasets and evaluation.
Document Analysis and Recognition – ICDAR 2021 Workshops
Title | Document Analysis and Recognition – ICDAR 2021 Workshops PDF eBook |
Author | Elisa H. Barney Smith |
Publisher | Springer Nature |
Pages | 499 |
Release | 2021-09-03 |
Genre | Computers |
ISBN | 3030861988 |
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.
Document Analysis Systems
Title | Document Analysis Systems PDF eBook |
Author | Xiang Bai |
Publisher | Springer Nature |
Pages | 588 |
Release | 2020-08-14 |
Genre | Computers |
ISBN | 3030570584 |
This book constitutes the refereed proceedings of the 14th IAPR International Workshop on Document Analysis Systems, DAS 2020, held in Wuhan, China, in July 2020. The 40 full papers presented in this book were carefully reviewed and selected from 57 submissions. The papers are grouped in the following topical sections: character and text recognition; document image processing; segmentation and layout analysis; word embedding and spotting; text detection; and font design and classification. Due to the Corona pandemic the conference was held as a virtual event .