Download or read book Intelligent Character Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-04 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Intelligent Character Recognition Intelligent character recognition (ICR) is used to extract handwritten text from images. It is a more sophisticated type of OCR technology that recognizes different handwriting styles and fonts to intelligently interpret data on forms and physical documents. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Intelligent character recognition Chapter 2: Optical character recognition Chapter 3: Handwriting recognition Chapter 4: Handwriting Chapter 5: Optical mark recognition Chapter 6: Document processing Chapter 7: Data entry clerk Chapter 8: Automatic identification and data capture Chapter 9: Noisy text analytics Chapter 10: Recognition (II) Answering the public top questions about intelligent character recognition. (III) Real world examples for the usage of intelligent 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 Intelligent Character Recognition.
Download or read book Knowledge Based Intelligent Techniques in Character Recognition written by Lakhmi C. Jain and published by CRC Press. This book was released on 2020-12-18 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field. This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks. Features
Download or read book Image Character Recognition ICR written by Anne S. McCarthy and published by . This book was released on 1994 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Intelligent Word Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-06 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Intelligent Word Recognition The process of recognizing unconstrained handwritten words is known as Intelligent Word Recognition, abbreviated IWR. Instead than recognizing handwritten words or phrases character by character like its predecessor, optical character recognition (OCR), IWR can recognize full handwritten words or phrases. IWR technology compares written or handwritten words to a vocabulary that has been created by the user, which considerably reduces the number of character errors that are produced by conventional character-based recognition engines. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Intelligent word recognition Chapter 2: Optical character recognition Chapter 3: Handwriting recognition Chapter 4: Optical mark recognition Chapter 5: Intelligent character recognition Chapter 6: Document processing Chapter 7: Automatic identification and data capture Chapter 8: Noisy text analytics Chapter 9: Forms processing Chapter 10: Handwritten biometric recognition (II) Answering the public top questions about intelligent word recognition. (III) Real world examples for the usage of intelligent word recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of intelligent word recognition' technologies. 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 intelligent word recognition.
Download or read book Optical Character Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-06 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Optical Character Recognition OCR, also known as optical character recognition, is the process of electronically or mechanically converting images of typed, handwritten, or printed text into machine-encoded text. This can be done from a scanned document, a photo of a document, a scene photo, or from subtitle text that is 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: Computer font Chapter 7: Intelligent character recognition Chapter 8: Tesseract (software) Chapter 9: Comparison of optical character recognition software Chapter 10: OCR Systems (II) Answering the public top questions about optical character recognition. (III) Real world examples for the usage of optical character recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of optical character recognition' technologies. 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.
Download or read book Optical Character Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-04 with total page 119 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book CatchWord written by Logitech (Fremont) and published by . This book was released on 1990 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Intelligent Character Recognition Using Hidden Markov Models written by Kamran Kordi and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Aided Intelligent Recognition Techniques and Applications written by Dr. Muhammad Sarfraz and published by John Wiley & Sons. This book was released on 2005-11-01 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification. This cutting-edge book draws together the latest findings of industry experts and researchers from around the globe. It is a timely guide for all those require comprehensive, state-of-the-art advice on the present status and future potential of intelligent recognition technology. Computer-Aided Intelligent Recognition Techniques and Applications: Provides the user community with systems and tools for application in a very wide range of areas, including: IT, education, security, banking, police, postal services, manufacturing, mining, medicine, multimedia, entertainment, communications, data visualization, knowledge extraction, pattern classification and virtual reality. Disseminates information in a plethora of disciplines, for example pattern recognition, AI, image processing, computer vision and graphics, neural networks, cryptography, fuzzy logic, databases, evolutionary algorithms, shape and numerical analysis. Illustrates all theory with real-world examples and case studies. This valuable resource is essential reading for computer scientists, engineers, and consultants requiring up-to-date comprehensive guidance on the latest developments in computer-aided intelligent recognition techniques and applications. Its detailed, practical approach will be of interest to senior undergraduate and graduate students as well as researchers and industry experts in the field of intelligent recognition.
Download or read book Modern Approaches in Machine Learning and Cognitive Science A Walkthrough written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2021-04-26 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comprehensive overview of machine learning with cognitive science methods and technologies which have played an important role at the core of practical solutions for a wide scope of tasks between handheld apps, industrial process control, autonomous vehicles, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The chapters in this book focus on readers interested in machine learning, cognitive and neuro-inspired computational systems – theories, mechanisms, and architecture, which underline human and animal behaviour, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions to applications of machine learning and cognitive science such as healthcare products, medical electronics, and gaming. Overall, this book provides valuable information on effective, cutting-edge techniques and approaches for students, researchers, practitioners, and academicians working in the field of AI, neural network, machine learning, and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.
Download or read book Optical Character Recognition Systems for Different Languages with Soft Computing written by Arindam Chaudhuri and published by Springer. This book was released on 2016-12-23 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Analysis and Design of Intelligent Systems Using Soft Computing Techniques written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2007-06-05 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.
Download or read book Character Recognition Systems written by Mohamed Cheriet and published by John Wiley & Sons. This book was released on 2007-11-27 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions. The book will no doubt be of value to students and practitioners." -Sargur N. Srihari, SUNY Distinguished Professor, Department of Computer Science and Engineering, and Director, Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, The State University of New York "The disciplines of optical character recognition and document image analysis have a history of more than forty years. In the last decade, the importance and popularity of these areas have grown enormously. Surprisingly, however, the field is not well covered by any textbook. This book has been written by prominent leaders in the field. It includes all important topics in optical character recognition and document analysis, and is written in a very coherent and comprehensive style. This book satisfies an urgent need. It is a volume the community has been awaiting for a long time, and I can enthusiastically recommend it to everybody working in the area." -Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland In Character Recognition Systems, the authors provide practitioners and students with the fundamental principles and state-of-the-art computational methods of reading printed texts and handwritten materials. The information presented is analogous to the stages of a computer recognition system, helping readers master the theory and latest methodologies used in character recognition in a meaningful way. This book covers: * Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR) * The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons * Evaluating extracted features, both structural and statistical * Modern classification methods that are successful in character recognition, including statistical methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM), structural methods, and multi-classifier methods * An overview of word and string recognition methods and techniques * Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results Each chapter contains major steps and tricks to handle the tasks described at-hand. Researchers and graduate students in computer science and engineering will find this book useful for designing a concrete system in OCR technology, while practitioners will rely on it as a valuable resource for the latest advances and modern technologies that aren't covered elsewhere in a single book.
Download or read book Character Recognition written by Minoru Mori and published by BoD – Books on Demand. This book was released on 2010-08-17 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Character recognition is one of the pattern recognition technologies that are most widely used in practical applications. This book presents recent advances that are relevant to character recognition, from technical topics such as image processing, feature extraction or classification, to new applications including human-computer interfaces. The goal of this book is to provide a reference source for academic research and for professionals working in the character recognition field.
Download or read book Handwriting Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-06 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Handwriting Recognition Handwriting recognition (HWR) is the ability of a computer to accept and interpret comprehensible handwritten input from sources such as paper documents, pictures, touch-screens, and other devices. Handwritten text recognition (HTR) is another name for handwriting recognition. Handwriting recognition (HWR) is also known as handwritten text recognition (HTR). By using optical scanning or intelligent word recognition, the image of the written text can be sensed "off line" from a piece of paper. This can be done in a number of different ways. A different option is for the movements of the pen tip to be sensed "on line," for instance by a pen-based computer screen surface. This is a task that is typically simpler because there are more hints available. Formatting, accurate character segmentation, and the identification of words that are most likely to be written are all taken care of by a handwriting recognition system. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Handwriting Recognition Chapter 2: Artificial Neural Network Chapter 3: Optical Character Recognition Chapter 4: Recurrent Neural Network Chapter 5: Long Short-term Memory Chapter 6: Deep Learning Chapter 7: Signature Recognition Chapter 8: Handwritten Biometric Recognition Chapter 9: MNIST Database Chapter 10: History of Artificial Neural Networks (II) Answering the public top questions about handwriting recognition. (III) Real world examples for the usage of handwriting recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of handwriting recognition' technologies. 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 handwriting recognition.
Download or read book Artificial Intelligence Applications written by Source Wikipedia and published by University-Press.org. This book was released on 2013-09 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 83. Chapters: Optical character recognition, Machine translation, Speech synthesis, Automatic number plate recognition, Clinical decision support system, Question answering, Handwriting recognition, Vehicle infrastructure integration, Activity recognition, Mobileye, Text mining, Content-based image retrieval, Speech generating device, Optical mark recognition, YouNoodle, Automatic image annotation, AeroText, Chinese speech synthesis, SCIgen, Statistical semantics, Eccky, Tf-idf, Asia Online, Resistance Database Initiative, Pop music automation, Machine translation software usability, Context-sensitive user interface, Verbot, Natural language user interface, SmartAction, EuResist, Noisy text analytics, SPADE, Language identification, Quack.com, WebCrow, GestureTek, Intelligent character recognition, FatKat, SHINE, Eurisko, Validis, Silent speech interface, TuVox, Artificial Imagination, VoiceWeb, Concept mining, Chomskybot, Imense, Network Compartment, Synthetix, ESTAR, Optical answer sheet, Sinewave synthesis, Dr. Sbaitso, AForge.NET, Polyworld, Artificial Intelligence Applications Institute, Mind's Eye, DialogOS, Monitoring and Surveillance Agents, ZoeOnAOL, Document capture software, Roblog, AOLbyPhone, Language Acquisition Device, ZolaOnAOL, Autonomous automation, Natachata, START natural language system, Human-centered computing, Document processing.
Download or read book Character And Handwriting Recognition Expanding Frontiers written by Patrick S P Wang and published by World Scientific. This book was released on 1991-08-29 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Character and handwriting recognition by computers is attracting much attention particularly because of its potential for application in many areas such as office automation, bank check processing, recognition of postal addresses and ZIP Codes, signature verification, and document and text recognition.Over the past four decades, many methods have been proposed, developed and tested for computers to recognize characters, and they have been reported in a variety of publications. The present volume is a coherent and integrated publication containing papers which give new research results in this increasingly active field. It is a boon to researchers, scientists and engineers who need to keep abreast of new developments in character and handwriting methodologies and applications.
