Machine Learning in Document Analysis and Recognition

Machine Learning in Document Analysis and Recognition PDF Author: Simone Marinai
Publisher: Springer Science & Business Media
ISBN: 3540762795
Category : Computers
Languages : en
Pages : 435

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Book Description
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 PDF Author: Simone Marinai
Publisher: Springer Science & Business Media
ISBN: 3540762795
Category : Computers
Languages : en
Pages : 435

Get Book Here

Book Description
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 PDF Author: Simone Marinai
Publisher: Springer
ISBN: 3540762809
Category : Technology & Engineering
Languages : en
Pages : 436

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Book Description
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 PDF Author: Horst Bunke
Publisher: World Scientific
ISBN: 9814500380
Category : Computers
Languages : en
Pages : 851

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Book Description
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 PDF Author: Xiang Bai
Publisher: Springer Nature
ISBN: 3030570584
Category : Computers
Languages : en
Pages : 588

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Book Description
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) PDF Author: Chi Hau Chen
Publisher: World Scientific
ISBN: 9814497649
Category : Computers
Languages : en
Pages : 1045

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Book Description
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 PDF Author: Volker Margner
Publisher: World Scientific
ISBN: 9813229284
Category : Computers
Languages : en
Pages : 303

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Book Description
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 PDF Author: Andreas Fischer
Publisher: Machine Perception and Artific
ISBN: 9789811203237
Category : Computers
Languages : en
Pages : 240

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Book Description
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.

Document Image Analysis

Document Image Analysis PDF Author: K.C. Santosh
Publisher: Springer
ISBN: 9811323399
Category : Computers
Languages : en
Pages : 184

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Book Description
The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.

Document Image Analysis

Document Image Analysis PDF Author: Horst Bunke
Publisher: World Scientific
ISBN: 9810220464
Category : Computers
Languages : en
Pages : 282

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Book Description
Interest in the automatic processing and analysis of document images has been rapidly increasing during the past few years. This book addresses the different subfields of document image analysis, including preprocessing and segmentation, form processing, handwriting recognition, line drawing and map processing, and contextual processing.

Document Analysis Systems II

Document Analysis Systems II PDF Author: Jonathan J. Hull
Publisher: World Scientific
ISBN: 9789810231033
Category : Computers
Languages : en
Pages : 542

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Book Description
This book provides an overview of the state of the art in research and development of systems for document image analysis. Topics covered include a variety of systems and architectures for processing document images as well as methods for converting those images into formats that can be manipulated by a computer. The chapters are written by recognized experts in the field and describe Systems and Architectures, Recognition Techniques, Graphics Analysis, Document Image Retrieval, and World Wide Web Applications.