Download or read book Digital Document Analysis and Processing written by Carlos Alexandre Barros de Mello and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Digital Document Processing written by Bidyut B. Chaudhuri and published by Springer Science & Business Media. This book was released on 2007-03-13 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Digital Document Analysis and Processing written by Carlos Alexandre Barros De Mello and published by Nova Science Publishers. This book was released on 2012-06-01 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 digitization, 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 center of the problem. This book covers the main aspects of document analysis and processing, including digitization, storage, thresholding, filtering, segmentation and automatic recognition.
Download or read book Advances in Digital Document Processing and Retrieval written by Bidyut Baran Chaudhuri and published by World Scientific. This book was released on 2013-11-20 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Contents:Document Image Analysis Using Markovian Models: Application to Historical Documents (S Nicolas, T Paquet and L Heutte)Information Just-in-Time: Going Beyond the Myth of Paperlessness (H Fujisawa, H Ikeda, N Furukawa, K Konishi and S Nakagami)The Role of Document Image Analysis in Trustworthy Elections (G Nagy and D Lopresti)Information Retrieval from Document Image Databases (S Lu and C L Tan)Indexing and Retrieval of Handwritten Documents (H Cao and V Govindaraju)Comprehensive Check Image Reader (M Shridhar, G F Houle, R Bakker and F Kimura)Statistical Deformation Model for Handwritten Character Recognition (S Uchida)Robust Word Recognition for Museum Index Cards with the SNT-Grid (S M Lucas and A Foullon-Pérez)Historical Handwritten Document Recognition (S L Feng and R Manmatha)Statistical Modeling of Document Appearance (P Sarkar)Reverse-Engineering of PDF Files (R Ingold, J-L Bloechle and M Rigamonti)Recognition of Bangla Handwriting: Current Status and Future Directions (U Bhattacharya, S K Parui and B B Chaudhuri) Readership: Engineers & technologists, statisticians, mathematicians and librarians. Keywords:Document Analysis;Document Indexing;Document Retrieval;Handwriting Recognition;Character Recognition;Word Recognition;OCR
Download or read book Automatic Digital Document Processing and Management written by Stefano Ferilli and published by Springer Science & Business Media. This book was released on 2011-01-03 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
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 183 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.
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 .
Download or read book Document Image Analysis written by Lawrence O'Gorman and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1995 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Document Analysis and Recognition ICDAR 2021 Workshops written by Elisa H. Barney Smith and published by Springer Nature. This book was released on 2021-09-03 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Document Analysis Systems VI written by Simone Marinai and published by Springer. This book was released on 2004-12-10 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thisvolumecontainspapersselectedforpresentationatthe6thIAPRWorkshop on Document Analysis Systems (DAS 2004) held during September 8–10, 2004 at the University of Florence, Italy. Several papers represent the state of the art in a broad range of “traditional” topics such as layout analysis, applications to graphics recognition, and handwritten documents. Other contributions address the description of complete working systems, which is one of the strengths of this workshop. Some papers extend the application domains to other media, like the processing of Internet documents. The peculiarity of this 6th workshop was the large number of papers related to digital libraries and to the processing of historical documents, a taste which frequently requires the analysis of color documents. A total of 17 papers are associated with these topics, whereas two yearsago (in DAS 2002) only a couple of papers dealt with these problems. In our view there are three main reasons for this new wave in the DAS community. From the scienti?c point of view, several research ?elds reached a thorough knowledge of techniques and problems that can be e?ectively solved, and this expertise can now be applied to new domains. Another incentive has been provided by several research projects funded by the EC and the NSF on topics related to digital libraries.
Download or read book Document Analysis Systems VII written by Horst Bunke and published by Springer Science & Business Media. This book was released on 2006-01-26 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Document Analysis Systems, DAS 2006, held in Nelson, New Zealand, in February 2006. The 33 revised full papers and 22 poster papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on digital libraries, image processing, handwriting, document structure and format, tables, language and script identification, systems and performance evaluation, and retrieval and segmentation.
Download or read book Digital Document Processing written by Hsieh Sheng Hou and published by John Wiley & Sons. This book was released on 1983 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Image Analysis and Processing ICIAP 2019 written by Elisa Ricci and published by Springer Nature. This book was released on 2019-09-04 with total page 769 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11751 and 11752 constitutes the refereed proceedings of the 20th International Conference on Image Analysis and Processing, ICIAP 2019, held in Trento, Italy, in September 2019. The 117 papers presented were carefully reviewed and selected from 207 submissions. The papers cover both classic and the most recent trends in image processing, computer vision, and pattern recognition, addressing both theoretical and applicative aspects. They are organized in the following topical sections: Video Analysis and Understanding; Pattern Recognition and Machine Learning; Deep Learning; Multiview Geometry and 3D Computer Vision; Image Analysis, Detection and Recognition; Multimedia; Biomedical and Assistive Technology; Digital Forensics; Image processing for Cultural Heritage.
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 183 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.
Download or read book Advances in Internet Data and Web Technologies written by Leonard Barolli and published by Springer. This book was released on 2019-02-05 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents original contributions on the theories and practices of emerging Internet, Data and Web technologies and their applications in businesses, engineering and academia. As a key feature, it addresses advances in the life-cycle exploitation of data generated by digital ecosystem technologies. The Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, Data and Web technologies are two of the most prominent paradigms, manifesting in a variety of forms such as Data Centers, Cloud Computing, Mobile Cloud, Mobile Web Services, and so on. These technologies altogether create a digital ecosystem whose cornerstone is the data cycle, from capturing to processing, analysis and visualization. The need to investigate various research and development issues in this digital ecosystem has been made even more pressing by the ever-increasing demands of real-life applications, which are based on storing and processing large amounts of data. Given its scope, the book offers a valuable asset for all researchers, software developers, practitioners and students interested in the field of Data and Web technologies.
