Document Image Processing


Document Image Processing
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Document Image Processing


Document Image Processing
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Author : Ergina Kavallieratou
language : en
Publisher: MDPI
Release Date : 2018-10-03

Document Image Processing written by Ergina Kavallieratou and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with categories.


This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging



Document Image Processing


Document Image Processing
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Author : Laurence Likforman-Sulem
language : en
Publisher:
Release Date : 2018

Document Image Processing written by Laurence Likforman-Sulem and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.




Document Image Processing For Scanning And Printing


Document Image Processing For Scanning And Printing
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Author : Ilia V. Safonov
language : en
Publisher: Springer
Release Date : 2019-03-25

Document Image Processing For Scanning And Printing written by Ilia V. Safonov and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-25 with Technology & Engineering categories.


This book continues first one of the same authors “Adaptive Image Processing Algorithms for Printing” and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors’ practical experience in algorithm development for industrial R&D.



Handbook Of Document Image Processing And Recognition


Handbook Of Document Image Processing And Recognition
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Author : David Doermann
language : en
Publisher: Springer
Release Date : 2014-05-21

Handbook Of Document Image Processing And Recognition written by David Doermann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-21 with Computers categories.


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.



Handbook Of Character Recognition And Document Image Analysis


Handbook Of Character Recognition And Document Image Analysis
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 1997

Handbook Of Character Recognition And Document Image Analysis written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


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.



Handbook Of Document Image Processing And Recognition


Handbook Of Document Image Processing And Recognition
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Author : David Doermann
language : en
Publisher: Springer
Release Date : 2014-05-22

Handbook Of Document Image Processing And Recognition written by David Doermann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-22 with Computers categories.


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.



Document Image Analysis


Document Image Analysis
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Author : K.C. Santosh
language : en
Publisher: Springer
Release Date : 2018-09-18

Document Image Analysis written by K.C. Santosh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-18 with Computers categories.


The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.



Document Image Analysis


Document Image Analysis
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Author : H Bunke
language : en
Publisher: World Scientific
Release Date : 1994-12-20

Document Image Analysis written by H Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-12-20 with Computers categories.


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. Contents:Preface (H Bunke et al.)A New Parallel Thinning Algorithm (Y Y Zhang & P S P Wang)Background Structure in Document Images (H S Baird)Analysis of Form Images (D Wang & S N Srihari)Model-Based Analysis and Understanding of Check Forms (T M Ha & H Bunke)Document Structures: A Survey (Y Y Tang & C Y Suen)Automatic Input of Logic Diagrams by Recognizing Loop-Symbols and Rectilinear Connections (S H Kim & J H Kim)Syntactic Analysis of Technical Drawing Dimensions (S Collin & D Colnet)Recognition of Elevation Value in Topographic Maps by Multi-Angled Parallelism (H Yamada et al.)Character Recognition by Signature Approximation (N Papamarkos et al.)An Adaptive Modular Neural Network with Application to Unconstrained Character Recognition (L Mui et al.)A Model-Based Split-and-Merge Method for Character String Recognition (H Nishida & S Mori)A Robust Stroke Extraction Method for Handwritten Chinese Characters (H-D Chang & J-F Wang)Handprinted Chinese Character Recognition Using Probability Distribution Feature (T F Li & S S Yu)An Algorithm for Matching OCR-Generated Text Strings (S V Rice et al.) Readership: Computer scientists. keywords:



Document Image Analysis


Document Image Analysis
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Author : Lawrence O'Gorman
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1995

Document Image Analysis written by Lawrence O'Gorman and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.




Document Image Processing For Scanning And Printing


Document Image Processing For Scanning And Printing
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Author : Ilia V. Safonov
language : en
Publisher:
Release Date : 2019

Document Image Processing For Scanning And Printing written by Ilia V. Safonov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Document imaging systems categories.


This book continues first one of the same authors "Adaptive Image Processing Algorithms for Printing" and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors? practical experience in algorithm development for industrial R & D.