Document Analysis and Recognition – ICDAR 2021

Document Analysis and Recognition – ICDAR 2021
Author: Josep Lladós
Publisher: Springer Nature
Total Pages: 878
Release: 2021-09-04
Genre: Computers
ISBN: 303086331X

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: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding.

Document Analysis Systems

Document Analysis Systems
Author: Xiang Bai
Publisher: Springer Nature
Total Pages: 594
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 .

Machine Learning in Document Analysis and Recognition

Machine Learning in Document Analysis and Recognition
Author: Simone Marinai
Publisher: Springer Science & Business Media
Total Pages: 435
Release: 2008-01-10
Genre: Computers
ISBN: 3540762795

The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and state-of-the-art reviews by leading researchers all over the world. It includes pointers to challenges and opportunities for future research directions. The main goal of the book is to identify good practices for the use of learning strategies in DAR.

Document Analysis and Recognition – ICDAR 2021 Workshops

Document Analysis and Recognition – ICDAR 2021 Workshops
Author: Elisa H. Barney Smith
Publisher: Springer Nature
Total Pages: 541
Release: 2021-09-03
Genre: Computers
ISBN: 3030861597

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 Text Recognition: Benchmarking State-of-the-art Systems

Document Analysis And Text Recognition: Benchmarking State-of-the-art Systems
Author: Volker Margner
Publisher: World Scientific
Total Pages: 303
Release: 2018-02-27
Genre: Computers
ISBN: 9813229284

The compendium presents the latest results of the most prominent competitions held in the field of Document Analysis and Text Recognition. It includes a description of the participating systems and the underlying methods on one hand and the datasets used together with evaluation metrics on the other hand. This volume also demonstrates with examples, how to organize a competition and how to make it successful. It will be an indispensable handbook to the document image analysis community.

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis
Author: Earl Gose
Publisher: Prentice Hall
Total Pages: 504
Release: 1996
Genre: Computers
ISBN:

Over the past 20 to 25 years, pattern recognition has become an important part of image processing applications where the input data is an image. This book is a complete introduction to pattern recognition and its increasing role in image processing. It covers the traditional issues of pattern recognition and also introduces two of the fastest growing areas: Image Processing and Artificial Neural Networks. Examples and digital images illustrate the techniques, while an appendix describes pattern recognition using the SAS statistical software system.

Document Analysis and Recognition - ICDAR 2023

Document Analysis and Recognition - ICDAR 2023
Author: Gernot A. Fink
Publisher: Springer Nature
Total Pages: 618
Release: 2023-08-18
Genre: Computers
ISBN: 3031416791

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

Document Analysis and Recognition - ICDAR 2023
Author: Gernot A. Fink
Publisher: Springer Nature
Total Pages: 568
Release: 2023-08-18
Genre: Computers
ISBN: 3031417348

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 Image Analysis

Document Image Analysis
Author: Lawrence O'Gorman
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Total Pages: 542
Release: 1995
Genre: Computers
ISBN: