Digital Document Analysis And Processing PDF Download
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| Author | : Carlos Alexandre Barros de Mello |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2012 |
| Genre | : Electronic records |
| ISBN | : 9781621003267 |
Download Digital Document Analysis and Processing Book in PDF, ePub and Kindle
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 | : Bidyut B. Chaudhuri |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 473 |
| Release | : 2007-03-13 |
| Genre | : Computers |
| ISBN | : 184628726X |
Download Digital Document Processing Book in PDF, ePub and Kindle
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 | : Stefano Ferilli |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 313 |
| Release | : 2011-01-03 |
| Genre | : Computers |
| ISBN | : 085729198X |
Download Automatic Digital Document Processing and Management Book in PDF, ePub and Kindle
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.
| Author | : Bidyut Baran Chaudhuri |
| Publisher | : World Scientific |
| Total Pages | : 334 |
| Release | : 2013-11-20 |
| Genre | : Computers |
| ISBN | : 9814583898 |
Download Advances In Digital Document Processing And Retrieval Book in PDF, ePub and Kindle
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 | : Sk Md Obaidullah |
| Publisher | : CRC Press |
| Total Pages | : 183 |
| Release | : 2019-11-25 |
| Genre | : Computers |
| ISBN | : 1000739538 |
Download Document Processing Using Machine Learning Book in PDF, ePub and Kindle
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 | : Simone Marinai |
| Publisher | : Springer Science & Business Media |
| Total 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.
| Author | : Xiang Bai |
| Publisher | : Springer Nature |
| Total 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 .
| Author | : Lawrence O'Gorman |
| Publisher | : Institute of Electrical & Electronics Engineers(IEEE) |
| Total Pages | : 542 |
| Release | : 1995 |
| Genre | : Computers |
| ISBN | : |
Download Document Image Analysis Book in PDF, ePub and Kindle
| Author | : Elisa H. Barney Smith |
| Publisher | : Springer Nature |
| Total Pages | : 499 |
| Release | : 2021-09-03 |
| Genre | : Computers |
| ISBN | : 3030861988 |
Download Document Analysis and Recognition – ICDAR 2021 Workshops Book in PDF, ePub and Kindle
This book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 contributions and divided into two volumes. Part I contains 29 full and 4 short papers that stem from the following meetings: ICDAR 2021 Workshop on Graphics Recognition (GREC); ICDAR 2021 Workshop on Camera-Based Document Analysis and Recognition (CBDAR); ICDAR 2021 Workshop on Arabic and Derived Script Analysis and Recognition (ASAR 2021); ICDAR 2021 Workshop on Computational Document Forensics (IWCDF). The main topics of the contributions are document processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; signature verification and document forensics, and others. “Accurate Graphic Symbol Detection in Ancient Document Digital Reproductions” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
| Author | : Margner Volker |
| Publisher | : World Scientific |
| Total Pages | : 304 |
| Release | : 2018-02-23 |
| 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 d104 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. Contents: Logical Structure and Segmentation: Logical Structure Extraction from Digitized Books (Antoine Doucet) Handwriting Segmentation (Nikolaos Stamatopoulos, Georgios Louloudis, and Basilis Gatos) Digits and Mathematical Expressions: Handwritten Digit and Digit String Recognition (Markus Diem, Stefan Fiel, and Florian Kleber) Handwritten Mathematical Expressions (Harold Mouchère, Christian Viard-Gaudin, Richard Zanibi, and Utpal Garain) Writer Identification and Signature Verification: Writer Identification (Georgios Louloudis, Nikolaos Stamatopoulos, and Basilis Gatos) Arabic Writer Identification Using AHTID/MW and KHATT Database (Fouad Slimane and Sameh Awaida) Signature Verification: Recent Developments and Perspectives (Muhammad Imran Malik, Sheraz Ahmed, Andreas Dengel, and Marcus Liwicki) d104 Recognition: Handwritten d104 Recognition Competitions With the tranScriptorium Dataset (Joan Andreu Sánchez, Verónica Romero, Alejandro H Toselli, and Enrique Vidal) Multifont and Multisize Low-resolution Arabic d104 Recognition Using APTI Database (Fouad Slimane and Christine Vanoirbeek) Readership: Researchers, academics, professionals and graduate students in pattern recognition/image analysis, neural networks, and innovation/technology. Keywords: Document Analysis;Digitisation;Character Recognition;Mathematical Expression Recognition;Digit Recognition;Arabic Documents;Handwriting Recognition;Performance Evaluation;Benchmarking;CompetitionsReview:0
