Author: Carlos Alexandre Barros de Mello
Publisher:
ISBN: 9781621003267
Category : Electronic records
Languages : en
Pages : 0
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Book Description
One possible solution to the increased amount of paper generated by mankind over recent years is to use the computer and its associated possibility of storing digital information. Through digitisation, the image of a paper can be stored in a digital file. With the development of new storage mediums with even larger capacity and faster access times, it is possible to put a complete collection of books in a single DVD or a small flash drive. This brought forth a possible solution to the problem of carrying and copying the information. But as new opportunities appear to us, we create new possibilities and new problems with them. In this way, carrying and copying moved away from being the centre of the problem. This book covers the main aspects of document analysis and processing, including digitisation, storage, thresholding, filtering, segmentation and automatic recognition.
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.
Author: Sk Md Obaidullah
Publisher: CRC Press
ISBN: 100073983X
Category : Computers
Languages : en
Pages : 154
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Book Description
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: Xiang Bai
Publisher: Springer Nature
ISBN: 3030570584
Category : Computers
Languages : en
Pages : 594
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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 .
Author: Bidyut B. Chaudhuri
Publisher: Springer Science & Business Media
ISBN: 184628726X
Category : Computers
Languages : en
Pages : 473
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Book Description
This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference source that will be invaluable to a large audience of researchers, lecturers and students working in this field. With chapters written by some of the most distinguished researchers active in this field, this book addresses recent advances in digital document processing research and development.
Author: Lawrence O'Gorman
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 542
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Book Description
Author: Bidyut Baran Chaudhuri
Publisher: World Scientific
ISBN: 9814583898
Category : Computers
Languages : en
Pages : 334
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Book Description
From the participation of researchers in most important international conferences in the field, it is noted that activities in automatic document processing have been continuously growing. This book is an edited volume in Digital Document Processing where the chapters are written by several internationally renowned researchers in the domain. It will be useful for both students and researchers working on various aspects of document image analysis and recognition problems. It contains chapters on topics that are not covered by any textbook, but are more futuristic like “Going beyond the Myth of Paperlessness”, or interesting application areas like “The Role of Document Image Analysis in Trustworthy Elections” as well as “Word Recognition for Museum Index Cards with SNT-Grid”. Persons developing document analysis software for industry may also find the chapters useful and attractive. The language of the chapters is simple and clear, along with drawings/diagrams wherever necessary. An adequate number of references are given at the end of each chapter. Overall, the book is highly readable and will be an asset to the community. Renowned contributors include George Nagy, Hiromichi Fujisawa, F Kimura, D Lopresti, Chew Lim Tan, S Uchida, Thierry Paquet, Laurent Heutte, V Govindaraju, R Manmatha.
Author: Elizabeth Bauchner
Publisher: Simon and Schuster
ISBN: 1422289516
Category : Juvenile Nonfiction
Languages : en
Pages : 148
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Book Description
The famous Lindbergh kidnapping in the 1930s was solved, in part, through a detailed analysis of the kidnapper's handwriting. Other criminal cases, such as selling phony manuscripts, forgery, and fraud can be broken with detailed analyses of handwriting, typewriting, photocopied documents, and the inks and papers used on documents. The science of analyzing documents has been growing for more than a century. In this book, readers will learn how to document analysis has helped solve various crimes, from kidnappings and famous forgeries, to bombings and other violent crimes. Readers will also see how document examiners present their findings in court. Crime leaves a paper trail—and document analysis provides the techniques for following that trail.
Author: David Doermann
Publisher: Springer
ISBN: 9780857298607
Category : Computers
Languages : en
Pages : 1055
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Book Description
The Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition. Each chapter provides a clear overview of the topic followed by the state of the art of techniques used – including elements of comparison between them – along with supporting references to archival publications, for those interested in delving deeper into topics addressed. Rather than favor a particular approach, the text enables the reader to make an informed decision for their specific problems.
Author: Hsieh Sheng Hou
Publisher: John Wiley & Sons
ISBN:
Category : Computers
Languages : en
Pages : 356
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Book Description
