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Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.
Book Synopsis Handbook Of Character Recognition And Document Image Analysis by : Horst Bunke
Download or read book Handbook Of Character Recognition And Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1997-05-02 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.
Book Synopsis Document Image Analysis by : Lawrence O'Gorman
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:
This book constitutes the refereed proceedings of the First Brazilian Symposium on Document Image Analysis, BSDIA'97, held in Curitiba in November 1997. The volume presents 19 revised full papers selected from 30 submissions as well as eight full-paper invited contributions by internationally leading authorities. The invited papers give a unique survey of the state of the art in the area. The selected papers are organized in sections on low level processing, document processing and retrieval, handwriting recognition, signature verification, and application systems.
Book Synopsis Advances in Document Image Analysis by : Nabeel A. Murshed
Download or read book Advances in Document Image Analysis written by Nabeel A. Murshed and published by Springer Science & Business Media. This book was released on 1997-10-22 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First Brazilian Symposium on Document Image Analysis, BSDIA'97, held in Curitiba in November 1997. The volume presents 19 revised full papers selected from 30 submissions as well as eight full-paper invited contributions by internationally leading authorities. The invited papers give a unique survey of the state of the art in the area. The selected papers are organized in sections on low level processing, document processing and retrieval, handwriting recognition, signature verification, and application systems.
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.
Book Synopsis Document Image Analysis by : Horst Bunke
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.
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.
Book Synopsis Automatic Digital Document Processing and Management by : Stefano Ferilli
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.
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.
Book Synopsis Digital Document Processing by : Bidyut B. Chaudhuri
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.
This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging
Book Synopsis Document Image Processing by : Ergina Kavallieratou
Download or read book Document Image Processing written by Ergina Kavallieratou and published by MDPI. This book was released on 2018-10-03 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging
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.
Book Synopsis Handbook of Document Image Processing and Recognition by : David Doermann
Download or read book Handbook of Document Image Processing and Recognition written by David Doermann and published by Springer. This book was released on 2014-05-22 with total page 1055 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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
Book Synopsis Advances in Digital Document Processing and Retrieval by : Bidyut Baran Chaudhuri
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
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.
Book Synopsis Machine Learning in Document Analysis and Recognition by : Simone Marinai
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.
