Download or read book Document Image Analysis written by K.C. Santosh and published by Springer. This book was released on 2018-09-18 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Handbook Of Character Recognition And Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1997-05-02 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Document Image Analysis written by Lawrence O'Gorman and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1995 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Document Image Analysis written by Horst Bunke and published by World Scientific. This book was released on 1994 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Handbook of Document Image Processing and Recognition written by David Doermann and published by Springer. This book was released on 2014-05-22 with total page 1055 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Machine Learning in Document Analysis and Recognition written by Simone Marinai and published by Springer Science & Business Media. This book was released on 2008-01-10 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Document Analysis Systems written by Xiang Bai and published by Springer Nature. This book was released on 2020-08-14 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 .
Download or read book Digital Document Processing written by Bidyut B. Chaudhuri and published by Springer Science & Business Media. This book was released on 2007-03-13 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Document Processing Using Machine Learning written by Sk Md Obaidullah and published by CRC Press. This book was released on 2019-11-25 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Image Analysis Applications written by Rangacha Kasturi and published by CRC Press. This book was released on 1990-05-25 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Document-analysis systems and techniques. Agraphics-recognition system for interpretation of line drawings. Automation recognition of engineering drawings and maps. Image-analysis techniques for geographic information systems. Digital image processing and tree-dimensional reconstruction in the basic neurociences. Applying digital processing methods in the analysis of retinal structure. Visual percepition using a Blackbord architeture. Analysis of high-resolution aerial images. Image formation and characterization for tree-dimensional vision. Enhancement of fingerprints using digital and optical techniques. The digital morphological sampling theorem.
Download or read book Web Document Analysis written by Apostolos Antonacopoulos and published by World Scientific. This book was released on 2003 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the first comprehensive look at the emerging field of web document analysis. It sets the scene in this new field by combining state-of-the-art reviews of challenges and opportunities with research papers by leading researchers. Readers will find in-depth discussions on the many diverse and interdisciplinary areas within the field, including web image processing, applications of machine learning and graph theories for content extraction and web mining, adaptive web content delivery, multimedia document modeling and human interactive proofs for web security. Contents: Content Extraction and Web Mining; Document Analysis for Adaptive Content Delivery; Table Understanding on the Web; Web Image Analysis and Retrieval; New Opportunities. Readership: Graduate students and researchers in document-analysis and web communities.
Download or read book Document Image Processing written by Ergina Kavallieratou and published by MDPI. This book was released on 2018-10-03 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging
Download or read book Document Image Processing for Scanning and Printing written by Ilia V. Safonov and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Executive Briefing written by Lawrence O'Gorman and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1997 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new executive briefing describes the technical methods and systems used for document processing of text and graphical images. These methods evolved from the fields of digital signal processing, digital image processing, and pattern recognition. The briefing gives executives and managers vital information on document processing approaches and details how these methods apply in different situations. If you are an executive, manager, or other decision maker whose business requires acquaintance or understanding of document processing, this book will prove to be a valuable asset. The briefing identifies major problem areas, describes multiple methods that you can apply to each problem, and discusses their advantages and disadvantages. It includes both technology descriptions as well as references to technical papers that detail the techniques.
Download or read book Document Image Analysis written by Akmal Jahan MAC and published by BrownWalker Press. This book was released on 2025-01-15 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Optical Character Recognition (OCR) techniques have made significant strides, they often fall short when dealing with non-text elements in documents. This gap highlighted the need for comprehensive solutions that recognize text and accurately detect and reconstruct tables and other graphical components. Our collaborative research efforts, extensive experiments, and continuous learning have culminated in developing the algorithms presented in this book, a testament to the power of teamwork in overcoming challenges. The book is structured to provide a thorough understanding of the problem domain, existing techniques, and our proposed solutions. We begin with an introduction to the challenges of digitizing printed documents, highlighting the limitations of current OCR methods and the need for advanced table detection and recognition algorithms. Subsequent chapters delve into detailed surveys of existing techniques, followed by a comprehensive presentation of our algorithms. We also explore the application of our enhanced algorithm in various scenarios, showcasing its robustness and effectiveness.
Download or read book Automatic Digital Document Processing and Management written by Stefano Ferilli and published by Springer Science & Business Media. This book was released on 2011-01-03 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text reviews the issues involved in handling and processing digital documents. Examining the full range of a document’s lifetime, the book covers acquisition, representation, security, pre-processing, layout analysis, understanding, analysis of single components, information extraction, filing, indexing and retrieval. Features: provides a list of acronyms and a glossary of technical terms; contains appendices covering key concepts in machine learning, and providing a case study on building an intelligent system for digital document and library management; discusses issues of security, and legal aspects of digital documents; examines core issues of document image analysis, and image processing techniques of particular relevance to digitized documents; reviews the resources available for natural language processing, in addition to techniques of linguistic analysis for content handling; investigates methods for extracting and retrieving data/information from a document.
Download or read book Machine Learning and Deep Learning in Real Time Applications written by Mahrishi, Mehul and published by IGI Global. This book was released on 2020-04-24 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm. Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
