Machine Learning In Document Analysis And Recognition

Author : Simone Marinai
Publisher : Springer Science & Business Media
ISBN 13 : 3540762795
Total Pages : 435 pages
Book Rating : 4.99/5 ( download)

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Download or read book Machine Learning in Document Analysis and Recognition written by Simone Marinai and published by Springer Science & Business Media. This book was released on 2008-01-10 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Sk Md Obaidullah
Publisher : CRC Press
ISBN 13 : 100073983X
Total Pages : 148 pages
Book Rating : 4.31/5 ( download)

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Download or read book Document Processing Using Machine Learning written by Sk Md Obaidullah and published by CRC Press. This book was released on 2019-11-25 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers comprehensive coverage of the most essential topics, including: · The role of AI for document image analysis · Optical character recognition · Machine learning algorithms for document analysis · Extreme learning machines and their applications · Mathematical foundation for Web text document analysis · Social media data analysis · Modalities for document dataset generation This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Author : Jonathan J. Hull
Publisher : World Scientific
ISBN 13 : 9789810231033
Total Pages : 542 pages
Book Rating : 4.32/5 ( download)

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Download or read book Document Analysis Systems II written by Jonathan J. Hull and published by World Scientific. This book was released on 1998 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Andreas Fischer
Publisher : World Scientific
ISBN 13 : 9811203253
Total Pages : 269 pages
Book Rating : 4.51/5 ( download)

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Download or read book Handwritten Historical Document Analysis, Recognition, And Retrieval - State Of The Art And Future Trends written by Andreas Fischer and published by World Scientific. This book was released on 2020-11-11 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9810220464
Total Pages : 282 pages
Book Rating : 4.64/5 ( download)

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Download or read book Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1994 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Mickael Coustaty
Publisher : Springer Nature
ISBN 13 : 3031414985
Total Pages : 344 pages
Book Rating : 4.85/5 ( download)

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Download or read book Document Analysis and Recognition – ICDAR 2023 Workshops written by Mickael Coustaty and published by Springer Nature. This book was released on 2023-08-14 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).

Author : Gernot A. Fink
Publisher : Springer Nature
ISBN 13 : 3031416821
Total Pages : 524 pages
Book Rating : 4.28/5 ( download)

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Download or read book Document Analysis and Recognition - ICDAR 2023 written by Gernot A. Fink and published by Springer Nature. This book was released on 2023-08-18 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Xiang Bai
Publisher : Springer Nature
ISBN 13 : 3030570584
Total Pages : 588 pages
Book Rating : 4.83/5 ( download)

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Download or read book Document Analysis Systems written by Xiang Bai and published by Springer Nature. This book was released on 2020-08-14 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 .

Author : Gernot A. Fink
Publisher : Springer Nature
ISBN 13 : 3031417313
Total Pages : 190 pages
Book Rating : 4.13/5 ( download)

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Download or read book Document Analysis and Recognition - ICDAR 2023 written by Gernot A. Fink and published by Springer Nature. This book was released on 2023-08-18 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Mickael Coustaty
Publisher : Springer Nature
ISBN 13 : 3031415019
Total Pages : 339 pages
Book Rating : 4.12/5 ( download)

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Download or read book Document Analysis and Recognition – ICDAR 2023 Workshops written by Mickael Coustaty and published by Springer Nature. This book was released on 2023-08-14 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).