Document Image Processing
Download Document Image Processing full books in PDF, epub, and Kindle. Read online free Document Image Processing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : David Doermann |
| Publisher | : Springer |
| Total Pages | : 1055 |
| Release | : 2014-05-22 |
| Genre | : Computers |
| ISBN | : 9780857298607 |
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.
| Author | : K.C. Santosh |
| Publisher | : Springer |
| Total Pages | : 184 |
| Release | : 2018-09-18 |
| Genre | : Computers |
| ISBN | : 9811323399 |
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.
| Author | : Horst Bunke |
| Publisher | : World Scientific |
| Total Pages | : 851 |
| Release | : 1997-05-02 |
| Genre | : Computers |
| ISBN | : 9814500380 |
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.
| Author | : Lawrence O'Gorman |
| Publisher | : Institute of Electrical & Electronics Engineers(IEEE) |
| Total Pages | : 542 |
| Release | : 1995 |
| Genre | : Computers |
| ISBN | : |
| Author | : Henry S. Baird |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 582 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3642772811 |
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.
| Author | : Ilia V. Safonov |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : Document imaging systems |
| ISBN | : 9783030053437 |
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.
| Author | : Ronald G. Matteson |
| Publisher | : Artech House Publishers |
| Total Pages | : 288 |
| Release | : 1995 |
| Genre | : Computers |
| ISBN | : |
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.
| Author | : Horst Bunke |
| Publisher | : World Scientific |
| Total Pages | : 282 |
| Release | : 1994 |
| Genre | : Computers |
| ISBN | : 9810220464 |
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.
| Author | : Sk Md Obaidullah |
| Publisher | : CRC Press |
| Total Pages | : 154 |
| Release | : 2019-11-25 |
| Genre | : Computers |
| ISBN | : 100073983X |
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.
| Author | : Bidyut B. Chaudhuri |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 473 |
| Release | : 2007-03-13 |
| Genre | : Computers |
| ISBN | : 184628726X |
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.
