-PDF Download- Introduction To Document Image Processing Techniques EBOOK

Introduction to Document Image Processing Techniques

Author: Ronald G. Matteson

Publisher: Artech House Publishers

Published: 1995

Total Pages: 288

ISBN-13:

How can you incorporate the latest advances in document image processing technology to your designs? This book details the practical engineering aspects of the technology, including scanning principles, compression and spatial filtering techniques, geometrical transformations required for translation and scaling, histogram modification, and halftone screening. It also features introductions to feature extraction, clustering, and classification needed for optical character recognition. Complete with 175 equations and 158 illustrations.

Handbook of Document Image Processing and Recognition

Author: David Doermann

Publisher: Springer

Published: 2014-05-21

Total Pages: 1055

ISBN-13: 9780857298584

DOWNLOAD EBOOK →

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

Author: Lawrence O'Gorman

Publisher: Institute of Electrical & Electronics Engineers(IEEE)

Published: 1995

Total Pages: 542

ISBN-13:

DOWNLOAD EBOOK →

Handbook of Document Image Processing and Recognition

Author: David Doermann

Publisher: Springer

Published: 2014-05-22

Total Pages: 1055

ISBN-13: 9780857298607

DOWNLOAD EBOOK →

Document Image Processing for Scanning and Printing

Author: Ilia V. Safonov

Publisher: Springer

Published: 2019-03-25

Total Pages: 305

ISBN-13: 3030053423

DOWNLOAD EBOOK →

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 Character Recognition And Document Image Analysis

Author: Horst Bunke

Publisher: World Scientific

Published: 1997-05-02

Total Pages: 851

ISBN-13: 9814500380

DOWNLOAD EBOOK →

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.

Principles of Digital Image Processing

Author: Wilhelm Burger

Publisher: Springer Science & Business Media

Published: 2013-11-18

Total Pages: 374

ISBN-13: 1848829191

DOWNLOAD EBOOK →

This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. Features: practical examples and carefully constructed chapter-ending exercises; real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners; easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications; uses ImageJ; provides a supplementary website with the complete Java source code, test images, and corrections; additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements.

Introduction to Digital Image Processing

Author: William K. Pratt

Publisher: CRC Press

Published: 2013-09-13

Total Pages: 750

ISBN-13: 1482216701

DOWNLOAD EBOOK →

The subject of digital image processing has migrated from a graduate to a junior or senior level course as students become more proficient in mathematical background earlier in their college education. With that in mind, Introduction to Digital Image Processing is simpler in terms of mathematical derivations and eliminates derivations of advanced s

A Concise Introduction to Image Processing using C++

Author: Meiqing Wang

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 264

ISBN-13: 1584888989

DOWNLOAD EBOOK →

Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in fractal-based image and video compression, A Concise Introduction to Image Processing using C++ strengthens your knowledge of fundamentals principles in image acquisition, con

Document and Image Compression

Author: Mauro Barni

Publisher: CRC Press

Published: 2018-10-08

Total Pages: 456

ISBN-13: 1420018833

DOWNLOAD EBOOK →

Although it's true that image compression research is a mature field, continued improvements in computing power and image representation tools keep the field spry. Faster processors enable previously intractable compression algorithms and schemes, and certainly the demand for highly portable high-quality images will not abate. Document and Image Compression highlights the current state of the field along with the most probable and promising future research directions for image coding. Organized into three broad sections, the book examines the currently available techniques, future directions, and techniques for specific classes of images. It begins with an introduction to multiresolution image representation, advanced coding and modeling techniques, and the basics of perceptual image coding. This leads to discussions of the JPEG 2000 and JPEG-LS standards, lossless coding, and fractal image compression. New directions are highlighted that involve image coding and representation paradigms beyond the wavelet-based framework, the use of redundant dictionaries, the distributed source coding paradigm, and novel data-hiding techniques. The book concludes with techniques developed for classes of images where the general-purpose algorithms fail, such as for binary images and shapes, compound documents, remote sensing images, medical images, and VLSI layout image data. Contributed by international experts, Document and Image Compression gathers the latest and most important developments in image coding into a single, convenient, and authoritative source.