Ocr
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Optical Character Recognition
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Author : Stephen V. Rice
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Optical Character Recognition written by Stephen V. Rice and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. There are thousands of research papers and dozens of OCR products. Optical Character Rcognition: An Illustrated Guide to the Frontier offers a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors. The pictures and analysis provide insight into the strengths and weaknesses of current OCR systems, and a road map to future progress. Optical Character Recognition: An Illustrated Guide to the Frontier will pique the interest of users and developers of OCR products and desktop scanners, as well as teachers and students of pattern recognition, artificial intelligence, and information retrieval. The first chapter compares the character recognition abilities of humans and computers. The next four chapters present 280 illustrated examples of recognition errors, in a taxonomy consisting of Imaging Defects, Similar Symbols, Punctuation, and Typography. These examples were drawn from large-scale tests conducted by the authors. The final chapter discusses possible approaches for improving the accuracy of today's systems, and is followed by an annotated bibliography. Optical Character Recognition: An Illustrated Guide to the Frontier is suitable as a secondary text for a graduate level course on pattern recognition, artificial intelligence, and information retrieval, and as a reference for researchers and practitioners in industry.
Optical Character Recognition
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-04
Optical Character Recognition written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-04 with Computers categories.
What is Optical Character Recognition Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo or from subtitle text superimposed on an image. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Optical character recognition Chapter 2: Typeface Chapter 3: Handwriting recognition Chapter 4: Image scanner Chapter 5: Optical mark recognition Chapter 6: Intelligent character recognition Chapter 7: Tesseract (software) Chapter 8: OCRopus Chapter 9: CuneiForm (software) Chapter 10: Comparison of optical character recognition software (II) Answering the public top questions about optical character recognition. (III) Real world examples for the usage of optical character recognition in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Optical Character Recognition.
Optical Character Recognition
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Author : Shunji Mori
language : en
Publisher: Wiley-Interscience
Release Date : 1999-04-13
Optical Character Recognition written by Shunji Mori and has been published by Wiley-Interscience this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-04-13 with Technology & Engineering categories.
As optical character recognition (OCR) begins to find applicationsranging from store checkout scanners to money-changing machines andpostal system automation, it has become one of the most dynamicareas in information science today. Yet few volumes explore thisdata-oriented process without relying heavily on mathematicalbackground reading. Now, Shunji Mori, Hirobumi Nishida, and Hiromitsu Yamada, among thefield's most respected researchers since its inception, presentthis self-contained, clearly written guidebook to OCR--the firstcomprehensive treatment of the preprocessing, feature-extraction,and systematic description-matching stages of the OCR process.Including a wealth of original research material available here forthe first time, this book is both an ideal professional referencesource and an excellent entry point for course work in thesubject. Key features of Optical Character Recognition: * Theoretical framework based on functional analysis--notpreviously available in a detailed, English-language version * Extensive explanation of preprocessing theory, including blurringand sampling, normalization, thinning, and binary and gray-scalemorphology * Intensive section on feature extraction, exploring linearmethods, structure analysis, and algebraic description * Original work on systematic shape description as a prerequisiteto matching * Original material on elastic matching, including imagerecognition of characters and objects * Requires only the standard undergraduate requisites of algebra,linear algebra, and advanced calculus
Optical Character Recognition Algorithms And Systems
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-15
Optical Character Recognition Algorithms And Systems written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-15 with Computers categories.
"Optical Character Recognition Algorithms and Systems" Designed for researchers, engineers, and advanced practitioners, "Optical Character Recognition Algorithms and Systems" offers a comprehensive exploration of the theory, algorithms, and architectures underpinning modern OCR technology. The book begins by grounding the reader in the mathematical formalism and theoretical foundations essential for understanding character recognition, tracing the historical evolution from early optical readers to artificial intelligence-powered systems. It presents a thorough taxonomy of OCR engines and delineates the rigorous benchmarking protocols required to assess advancement in this field. Covering the entire OCR pipeline, the text delves deeply into document image acquisition, preprocessing, and segmentation—addressing challenges posed by varied input devices, physical and digital noise, and complex page layouts. Subsequent chapters explore sophisticated feature extraction techniques, from classical handcrafted features to state-of-the-art deep learning representations, and provide an authoritative treatment of recognition models, including statistical classifiers, kernel methods, and advanced neural architectures such as attention mechanisms and transformers. The book pays particular attention to multilingual and handwritten text recognition, describing domain-specific algorithms, script detection strategies, and the unique obstacles presented by cursive and overlapping characters. Rounding out its approach, the book analyzes essential postprocessing techniques—including error correction, language modeling, and active learning—as well as practical considerations for deploying OCR at scale. Readers will find in-depth discussions on modular and real-time architectures, integration with enterprise workflows, and security and privacy in distributed systems. The concluding chapters highlight the latest advancements, from scene and video text recognition to augmented reality applications, and outline open research challenges, making this volume an indispensable reference for anyone advancing the state of document analysis and recognition.
Optical Character Recognition Systems For Different Languages With Soft Computing
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Author : Arindam Chaudhuri
language : en
Publisher: Springer
Release Date : 2016-12-23
Optical Character Recognition Systems For Different Languages With Soft Computing written by Arindam Chaudhuri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-23 with Technology & Engineering categories.
The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.
Guideline For Optical Character Recognition Forms
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Author : United States. National Bureau of Standards
language : en
Publisher:
Release Date : 1976
Guideline For Optical Character Recognition Forms written by United States. National Bureau of Standards and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Government publications categories.
Tesseract Ocr Essentials
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-13
Tesseract Ocr Essentials written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
"Tesseract OCR Essentials" Unlock the full potential of automated text recognition with "Tesseract OCR Essentials," a comprehensive guide for professionals seeking mastery in optical character recognition (OCR) using the renowned open-source Tesseract engine. This book seamlessly bridges foundational OCR concepts with modern, real-world implementations, beginning with mathematical and algorithmic underpinnings, the historical evolution of Tesseract, and advances in pattern recognition and machine learning. Readers gain a clear understanding of the complex challenges inherent in extracting text from diverse and visually complex documents. Delving into Tesseract’s internal architecture, the book presents a deep analysis of its modular structure, processing pipelines, and the key differences between major versions, all while highlighting integration techniques with essential libraries such as OpenCV and Leptonica. From platform-specific installation, containerized deployment, and embedded-device optimization to sophisticated image preprocessing and automated enhancement workflows, every aspect of setup and performance tuning is addressed in detail to ensure robust and efficient OCR solutions. Beyond configuration and training, "Tesseract OCR Essentials" offers expert strategies for extending Tesseract with custom models, language packs, and output formats, supported by best practices for integration into C++, Python, and scalable cross-platform workflows. The book concludes with an insightful examination of security, compliance, and ethical considerations—providing guidance on privacy, auditability, adversarial robustness, and the future of responsible OCR. Both practical and visionary, this essential resource empowers developers, data scientists, and architects to fully leverage Tesseract for cutting-edge document automation and intelligent data extraction.
Empirical Studies In Machine Psychology
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Author : Robert Johansson
language : en
Publisher: Linköping University Electronic Press
Release Date : 2024-10-09
Empirical Studies In Machine Psychology written by Robert Johansson and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-09 with categories.
This thesis presents Machine Psychology as an interdisciplinary paradigm that integrates learning psychology principles with an adaptive computer system for the development of Artificial General Intelligence (AGI). By synthesizing behavioral psychology with a formal intelligence model, the Non-Axiomatic Reasoning System (NARS), this work explores the potential of operant conditioning paradigms to advance AGI research. The thesis begins by introducing the conceptual foundations of Machine Psychology, detailing its alignment with the theoretical constructs of learning psychology and the formalism of NARS. It then progresses through a series of empirical studies designed to systematically investigate the emergence of increasingly complex cognitive behaviors as NARS interacts with its environment. Initially, operant conditioning is established as a foundational principle for developing adaptive behavior with NARS. Subsequent chapters explore increasingly sophisticated cognitive capabilities, all studied with NARS using experimental paradigms from operant learning psychology: Generalized identity matching, Functional equivalence, and Arbitrarily Applicable Relational Responding. Throughout this research, Machine Psychology is demonstrated to be a promising framework for guiding AGI research, allowing both the manipulation of environmental contingencies and the system’s intrinsic logical processes. The thesis contributes to AGI research by showing how using operant psychological paradigms with NARS can enable cognitive abilities similar to human cognition. These findings set the stage for AGI systems that learn and adapt more like humans, potentially advancing the creation of more general and flexible AI. Denna avhandling introducerar Maskinpsykologi som ett tvärvetenskapligt område där principer från inlärningspsykologi integreras med ett adaptivt datorsystem. Genom att kombinera forskning från beteendepsykologi med en formell modell för intelligens (Non-Axiomatic Reasoning System; NARS), undersöker avhandlingen hur operant betingning kan användas för att driva utvecklingen av Artificiell General Intelligens (AGI) framåt. Avhandlingen börjar med att förklara grunderna i Maskinpsykologi och hur dessa relaterar till både inlärningspsykologi och NARS. Därefter presenteras en serie experiment som systematiskt undersöker hur allt mer komplexa kognitiva beteenden kan uppstå när NARS interagerar med sin omgivning. Till att börja med etableras operant betingning som en central metod för att utveckla adaptiva beteenden med NARS. I de följande kapitlen utforskas hur NARS, genom experiment inspirerade av operant inlärningspsykologi, kan utveckla mer avancerade kognitiva förmågor som till exempel generaliserad identitetsmatchning, funktionell ekvivalens och så kallade arbiträrt applicerbara relationsresponser. Denna forskning visar att Maskinpsykologi är ett lovande verktyg för att vägleda AGI-forskning, eftersom det möjliggör att både påverka omgivningsfaktorer och styra systemets interna logiska processer. Avhandlingen bidrar till AGI-forskning genom att visa hur operanta psykologiska metoder, tillämpade på NARS, kan möjliggöra kognitiva förmågor som liknar mänskligt tänkande. Dessa insikter öppnar nya möjligheter för att utveckla AI-system som kan lära sig och anpassa sig på ett mer mänskligt sätt, vilket kan leda till skapandet av mer generell och flexibel AI.
Adobe Acrobat 8 Pdf Bible
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Author : Ted Padova
language : en
Publisher: John Wiley & Sons
Release Date : 2007-02-12
Adobe Acrobat 8 Pdf Bible written by Ted Padova and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-12 with Computers categories.
Adobe Acrobat and its file format, PDF, have become the standard for portable documents, including everything from high-resolution color files destined for print to Internet and e-book content * As the standard reference for creative professionals everywhere, this classic resource has been updated and enhanced * Written by Acrobat and PDF guru Ted Padova, the book is packed with real-world insights and techniques gained from the author's use of Acrobat and PDF every single day under deadline situations * Covers everything there is to know about using Acrobat and PDF for print prepress, the Internet, CD-ROMs, and all manner of new media * The CD-ROM includes third-party Acrobat tools, a searchable PDF version of the book, and ready-to-use forms, plug-ins, and utilities.
Optical Character Recognition Technologies And Algorithms
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-14
Optical Character Recognition Technologies And Algorithms written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-14 with Computers categories.
"Optical Character Recognition Technologies and Algorithms" "Optical Character Recognition Technologies and Algorithms" presents a comprehensive exploration of the principles, methodologies, and advances underpinning OCR systems. The book starts with a thorough historical overview, delineating the progression of OCR technology from its foundational milestones to the sophisticated, context-aware solutions of today. Readers are introduced to the taxonomy of OCR systems, end-to-end workflows, benchmark datasets, and the critical challenges faced in processing multilingual, noisy, and complex textual data. The subsequent chapters delve deeply into every core layer of the OCR pipeline. Detailed discussions address document image acquisition, preprocessing, sophisticated segmentation, and structural analysis techniques required for robust text isolation and extraction. The book covers traditional handcrafted feature engineering as well as cutting-edge deep learning models for feature representation, and thoroughly examines classic and modern recognition algorithms, including template matching, statistical classifiers, HMMs, CNNs, RNNs, and transformer-based architectures. The integration of lexical and statistical language models, postprocessing strategies, and effective adaptation to multilingual and specialized domains are thoroughly addressed, equipping readers with a holistic view of the modern OCR landscape. Furthermore, the text investigates advanced topics such as handwriting recognition, scene text extraction, and robust handling of complex scripts and adversarial attacks. It offers practical guidance on deploying OCR systems at scale, covering modular design, cloud and edge deployments, hardware acceleration, and integration into enterprise environments while ensuring security and privacy. Rich with evaluation protocols, real-world industrial case studies, and insights into emerging trends and open research challenges, this book is an indispensable resource for practitioners, researchers, and engineers aiming to master OCR technologies and drive future innovations.