The Documented Image
| Author | : Gabriel P. Weisberg |
| Publisher | : Syracuse University Press |
| Total Pages | : 416 |
| Release | : 1987-12-01 |
| Genre | : Art |
| ISBN | : 9780815624103 |
The Documented Image
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Document Image Analysis
| 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.
Documenting the World
| Author | : Gregg Mitman |
| Publisher | : University of Chicago Press |
| Total Pages | : 292 |
| Release | : 2016-12-20 |
| Genre | : Science |
| ISBN | : 022612925X |
Imagine the twentieth century without photography and film. Its history would be absent of images that define historical moments and generations: the death camps of Auschwitz, the assassination of John F. Kennedy, the Apollo lunar landing. It would be a history, in other words, of just artists’ renderings and the spoken and written word. To inhabitants of the twenty-first century, deeply immersed in visual culture, such a history seems insubstantial, imprecise, and even, perhaps, unscientific. Documenting the World is about the material and social life of photographs and film made in the scientific quest to document the world. Drawing on scholars from the fields of art history, visual anthropology, and science and technology studies, the chapters in this book explore how this documentation—from the initial recording of images, to their acquisition and storage, to their circulation—has altered our lives, our ways of knowing, our social and economic relationships, and even our surroundings. Far beyond mere illustration, photography and film have become an integral, transformative part of the world they seek to show us.
Handbook Of Character Recognition And Document Image Analysis
| 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.
Handbook of Document Image Processing and Recognition
| 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.
Structured Document Image Analysis
| 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.
Document Image Analysis
| Author | : Lawrence O'Gorman |
| Publisher | : Institute of Electrical & Electronics Engineers(IEEE) |
| Total Pages | : 542 |
| Release | : 1995 |
| Genre | : Computers |
| ISBN | : |
Document Image Processing for Scanning and Printing
| Author | : Ilia V. Safonov |
| Publisher | : Springer |
| Total Pages | : 314 |
| Release | : 2019-03-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3030053423 |
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 and Image Compression
| Author | : Mauro Barni |
| Publisher | : CRC Press |
| Total Pages | : 456 |
| Release | : 2018-10-08 |
| Genre | : Technology & Engineering |
| ISBN | : 1420018833 |
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.
