Document Image Analysis
Document Image Analysis

Author: K.C. Santosh

Publisher: Springer

Published: 2018-09-18

Total Pages: 184

ISBN-13: 9811323399

DOWNLOAD EBOOK

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.

Handbook Of Character Recognition And Document Image Analysis
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.

Handbook of Document Image Processing and Recognition
Handbook of Document Image Processing and Recognition

Author: David Doermann

Publisher: Springer

Published: 2014-05-22

Total Pages: 1055

ISBN-13: 9780857298607

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
Document Image Analysis

Author: Horst Bunke

Publisher: World Scientific

Published: 1994

Total Pages: 282

ISBN-13: 9810220464

DOWNLOAD EBOOK

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.

Structured Document Image Analysis
Structured Document Image Analysis

Author: Henry S. Baird

Publisher: Springer

Published: 2011-12-16

Total Pages: 582

ISBN-13: 9783642772832

DOWNLOAD EBOOK

Document image analysis is the automatic computer interpretation of images of printed and handwritten documents, including text, drawings, maps, music scores, etc. Research in this field supports a rapidly growing international industry. This is the first book to offer a broad selection of state-of-the-art research papers, including authoritative critical surveys of the literature, and parallel studies of the architectureof complete high-performance printed-document reading systems. A unique feature is the extended section on music notation, an ideal vehicle for international sharing of basic research. Also, the collection includes important new work on line drawings, handwriting, character and symbol recognition, and basic methodological issues. The IAPR 1990 Workshop on Syntactic and Structural Pattern Recognition is summarized,including the reports of its expert working groups, whose debates provide a fascinating perspective on the field. The book is an excellent text for a first-year graduate seminar in document image analysis,and is likely to remain a standard reference in the field for years.

Machine Learning in Document Analysis and Recognition
Machine Learning in Document Analysis and Recognition

Author: Simone Marinai

Publisher: Springer Science & Business Media

Published: 2008-01-10

Total Pages: 435

ISBN-13: 3540762795

DOWNLOAD EBOOK

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.

Document Analysis Systems
Document Analysis Systems

Author: Xiang Bai

Publisher: Springer Nature

Published: 2020-08-14

Total Pages: 588

ISBN-13: 3030570584

DOWNLOAD EBOOK

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 .

Document Image Processing for Scanning and Printing
Document Image Processing for Scanning and Printing

Author: Ilia V. Safonov

Publisher:

Published: 2019

Total Pages:

ISBN-13: 9783030053437

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.

Document Image Processing
Document Image Processing

Author: Ergina Kavallieratou

Publisher: MDPI

Published: 2018-10-03

Total Pages: 217

ISBN-13: 3038971057

DOWNLOAD EBOOK

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