Machine Learning in Document Analysis and Recognition

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

Download Machine Learning in Document Analysis and Recognition Book in PDF, Epub and Kindle

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.

Machine Learning in Document Analysis and Recognition

Machine Learning in Document Analysis and Recognition
Title Machine Learning in Document Analysis and Recognition PDF eBook
Author Simone Marinai
Publisher Springer
Pages 436
Release 2007-12-27
Genre Technology & Engineering
ISBN 3540762809

Download Machine Learning in Document Analysis and Recognition Book in PDF, Epub and Kindle

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.

Handbook Of Character Recognition And Document Image Analysis

Handbook Of Character Recognition And Document Image Analysis
Title Handbook Of Character Recognition And Document Image Analysis PDF eBook
Author Horst Bunke
Publisher World Scientific
Pages 851
Release 1997-05-02
Genre Computers
ISBN 9814500380

Download Handbook Of Character Recognition And Document Image Analysis Book in PDF, Epub and Kindle

Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.

Document Analysis Systems

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

Download Document Analysis Systems Book in PDF, Epub and Kindle

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 .

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)
Title Handbook Of Pattern Recognition And Computer Vision (2nd Edition) PDF eBook
Author Chi Hau Chen
Publisher World Scientific
Pages 1045
Release 1999-03-12
Genre Computers
ISBN 9814497649

Download Handbook Of Pattern Recognition And Computer Vision (2nd Edition) Book in PDF, Epub and Kindle

The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.

Document Analysis And Text Recognition: Benchmarking State-of-the-art Systems

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

Download Document Analysis And Text Recognition: Benchmarking State-of-the-art Systems Book in PDF, Epub and Kindle

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.

Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends

Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends
Title Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends PDF eBook
Author Andreas Fischer
Publisher Machine Perception and Artific
Pages 240
Release 2020-04-14
Genre Computers
ISBN 9789811203237

Download Handwritten Historical Document Analysis, Recognition, and Retrieval - State of the Art and Future Trends Book in PDF, Epub and Kindle

In recent years, libraries and archives all around the world have increased their efforts to digitize historical manuscripts. To integrate the manuscripts into digital libraries, pattern recognition and machine learning methods are needed to extract and index the contents of the scanned images. The unique compendium describes the outcome of the HisDoc research project, a pioneering attempt to study the whole processing chain of layout analysis, handwriting recognition, and retrieval of historical manuscripts. This description is complemented with an overview of other related research projects, in order to convey the current state of the art in the field and outline future trends. This must-have volume is a relevant reference work for librarians, archivists and computer scientists.