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Automatic Digital Document Processing and Management

Automatic Digital Document Processing and Management
Author: Stefano Ferilli
Publisher: Springer Science & Business Media
Total Pages: 313
Release: 2011-01-03
Genre: Computers
ISBN: 085729198X

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This text reviews the issues involved in handling and processing digital documents. Examining the full range of a document’s lifetime, the book covers acquisition, representation, security, pre-processing, layout analysis, understanding, analysis of single components, information extraction, filing, indexing and retrieval. Features: provides a list of acronyms and a glossary of technical terms; contains appendices covering key concepts in machine learning, and providing a case study on building an intelligent system for digital document and library management; discusses issues of security, and legal aspects of digital documents; examines core issues of document image analysis, and image processing techniques of particular relevance to digitized documents; reviews the resources available for natural language processing, in addition to techniques of linguistic analysis for content handling; investigates methods for extracting and retrieving data/information from a document.


Digital Document Processing

Digital Document Processing
Author: Bidyut B. Chaudhuri
Publisher: Springer Science & Business Media
Total Pages: 473
Release: 2007-03-13
Genre: Computers
ISBN: 184628726X

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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.


Document Processing Using Machine Learning

Document Processing Using Machine Learning
Author: Sk Md Obaidullah
Publisher: CRC Press
Total Pages: 183
Release: 2019-11-25
Genre: Computers
ISBN: 1000739538

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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.


Digital Document Analysis and Processing

Digital Document Analysis and Processing
Author: Carlos Alexandre Barros de Mello
Publisher:
Total Pages: 0
Release: 2012
Genre: Electronic records
ISBN: 9781621003267

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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.


Principles of Digital Document Processing

Principles of Digital Document Processing
Author: Ethan V. Munson
Publisher: Springer
Total Pages: 160
Release: 2003-06-26
Genre: Computers
ISBN: 3540496548

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This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Principles of Digital Document Processing, PODDP'98, held in Saint Malo, France, in March 1998. The 12 revised full papers presented were carefully reviewed during two rounds of selection for inclusion in the book. The book is divided into sections on document models and structures, characterization of documents and corpora, and accessing collections of documents.


Advances In Digital Document Processing And Retrieval

Advances In Digital Document Processing And Retrieval
Author: Bidyut Baran Chaudhuri
Publisher: World Scientific
Total Pages: 334
Release: 2013-11-20
Genre: Computers
ISBN: 9814583898

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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.


Digital Document Management

Digital Document Management
Author: William Saffady
Publisher:
Total Pages: 232
Release: 2007-01-01
Genre: Document imaging systems
ISBN: 9781931786355

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Introduction to Electronic Document Management Systems

Introduction to Electronic Document Management Systems
Author: Bozzano G Luisa
Publisher: Academic Press
Total Pages: 269
Release: 2012-12-02
Genre: Computers
ISBN: 0323140629

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Introduction to Electronic Document Management Systems provides an in-depth overview of the technology of electronic document management using modern electronic image processing. It will prove to be a key source of information for management and technical staff of organizations considering a transformation from traditional micrographics-based document storage and retrieval systems to new electronic document capture systems. It will also be useful for those organizations considering improving productivity through electronic management of large volumes of data records.


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

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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.


Digital Documents: Systems and Principles

Digital Documents: Systems and Principles
Author: Peter King
Publisher: Springer
Total Pages: 254
Release: 2004-02-12
Genre: Computers
ISBN: 354039916X

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This volume contains the proceedings of two recent conferences in the ?eld of electronic publishing and digital documents: – DDEP 2000, the 8th International Conference on Digital Documents and Electronic Publishing, the successor conference to the EP conference series; and – PODDP 2000, the 5th International Workshop on the Principles of Digital Document Processing. Both conferences were held at the Technische Universit ̈ at Munc ̈ hen, Munich, Germany in September 2000. DDEP 2000 was the eighth in a biennial series of international conferences organized to promote the exchange of novel ideas concerning the computer p- duction, manipulation and dissemination of documents. This conference series has attempted to re?ect the evolving nature and usage of documents by treating digital documents and electronic publishing as a broad topic covering many - pects. These aspects have included document models, document representation and document dissemination, dynamic and hyper-documents, document ana- sis and management, and wide-ranging applications. The papers presented at DDEP 2000 and in this volume re?ect this broad view, and cover such diverse topicsashypermediastructureanddesign,multimediaauthoringtechniquesand systems, document structure inference, typography, document management and adaptation, document collections and Petri nets. All papers were refereed by an international program committee.