Optical Character Recognition Systems For Different Languages With Soft Computing
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Optical Character Recognition Systems for Different Languages with Soft Computing by Arindam Chaudhuri,Krupa Mandaviya,Pratixa Badelia,Soumya K Ghosh Pdf
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.
Character Recognition Systems by Mohamed Cheriet,Nawwaf Kharma,Cheng-Lin Liu,Ching Suen Pdf
"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.
Optical Character Recognition by Stephen V. Rice,George Nagy,Thomas A. Nartker Pdf
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.
Applied Computational Intelligence and Mathematical Methods by Radek Silhavy,Petr Silhavy,Zdenka Prokopova Pdf
The book discusses real-world problems and exploratory research in computational intelligence and mathematical models. It brings new approaches and methods to real-world problems and exploratory research that describes novel approaches in the mathematical methods, computational intelligence methods and software engineering in the scope of the intelligent systems. This book constitutes the refereed proceedings of the Computational Methods in Systems and Software 2017, a conference that provided an international forum for the discussion of the latest high-quality research results in all areas related to computational methods, statistics, cybernetics and software engineering.
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.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) by Aboul-Ella Hassanien,Ahmad Taher Azar,Tarek Gaber,Diego Oliva,Fahmy M. Tolba Pdf
This book presents the proceedings of the 1st International Conference on Artificial Intelligence and Computer Visions (AICV 2020), which took place in Cairo, Egypt, from April 8 to 10, 2020. This international conference, which highlighted essential research and developments in the fields of artificial intelligence and computer visions, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into sections, covering the following topics: swarm-based optimization mining and data analysis, deep learning and applications, machine learning and applications, image processing and computer vision, intelligent systems and applications, and intelligent networks.
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.
Machine Vision Inspection Systems, Machine Learning-Based Approaches by Muthukumaran Malarvel,Soumya Ranjan Nayak,Prasant Kumar Pattnaik,Surya Narayan Panda Pdf
Machine Vision Inspection Systems (MVIS) is a multidisciplinary research field that emphasizes image processing, machine vision and, pattern recognition for industrial applications. Inspection techniques are generally used in destructive and non-destructive evaluation industry. Now a day's the current research on machine inspection gained more popularity among various researchers, because the manual assessment of the inspection may fail and turn into false assessment due to a large number of examining while inspection process. This volume 2 covers machine learning-based approaches in MVIS applications and it can be employed to a wide diversity of problems particularly in Non-Destructive testing (NDT), presence/absence detection, defect/fault detection (weld, textile, tiles, wood, etc.), automated vision test & measurement, pattern matching, optical character recognition & verification (OCR/OCV), natural language processing, medical diagnosis, etc. This edited book is designed to address various aspects of recent methodologies, concepts, and research plan out to the readers for giving more depth insights for perusing research on machine vision using machine learning-based approaches.
Optical Character Recognition Based Retrieval by Biniam Asnake,Girma Aweke Pdf
The automation of manual activities was a long-time imagination of human beings. With the development of computers, this dream is coming to be realized. Over the past 50 years, many researches are conducted to develop machines and software that help and sometimes replace human beings. Optical Character Recognition(OCR) is one of the most successful applications of technology in the field of pattern recognition and artificial intelligence. OCR systems take scanned images of paper documents as input, and automatically convert them into digital format for computer-aided data processing. In the first part of this book, the definition, architecture, benefits, applications and issues of developing of OCR systems are covered. A total of fifteen researches are reviewed and a summary of the identified problems, objective of the study, methods, techniques and algorithms applied or innovated, scope and limitation, performance evaluation as well as the future research direction pointed by all researches are presented in an interesting manner. Finally conclusion and recommendations with references to reviewed literatures are presented.
Handbook Of Character Recognition And Document Image Analysis by Horst Bunke,Patrick S P Wang Pdf
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.
Progress in Advanced Computing and Intelligent Engineering by Chhabi Rani Panigrahi,Arun K. Pujari,Sudip Misra,Bibudhendu Pati,Kuan-Ching Li Pdf
This book features high-quality research papers presented at the International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2017). It includes sections describing technical advances in the fields of advanced computing and intelligent engineering, which are based on the presented articles. Intended for postgraduate students and researchers working in the discipline of computer science and engineering, the proceedings also appeal to researchers in the domain of electronics as it covers hardware technologies and future communication technologies.
Digital Methods in the Humanities by Silke Schwandt Pdf
Digital Humanities is a transformational endeavor that not only changes the perception, storage, and interpretation of information but also of research processes and questions. It also prompts new ways of interdisciplinary communication between humanities scholars and computer scientists. This volume offers a unique perspective on digital methods for and in the humanities. It comprises case studies from various fields to illustrate the challenge of matching existing textual research practices and digital tools. Problems and solutions with and for training tools as well as the adjustment of research practices are presented and discussed with an interdisciplinary focus.
Emerging Trends in Expert Applications and Security by Vijay Singh Rathore,Marcel Worring,Durgesh Kumar Mishra,Amit Joshi,Shikha Maheshwari Pdf
The book covers current developments in the field of expert applications and security, which employ advances of next-generation communication and computational technology to shape real-world applications. It gathers selected research papers presented at the ICETEAS 2018 conference, which was held at Jaipur Engineering College and Research Centre, Jaipur, India, on February 17–18, 2018. Key topics covered include expert applications and artificial intelligence; information and application security; advanced computing; multimedia applications in forensics, security and intelligence; and advances in web technologies: implementation and security issues.
Computational Intelligence in Image and Video Processing by Mukesh D Patil,Gajanan K Birajdar,Sangita S Chaudhari Pdf
Computational Intelligence in Image and Video Processing presents introduction, state-of-the-art and adaptations of computational intelligence techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing. Features: A systematic overview of state-of-the-art technology in computational intelligence techniques for image and video processing Advanced evolutionary and nature-inspired approaches to solve optimization problems in the image and video processing domain Outcomes of recent research and some pointers to future advancements in image and video processing and intelligent solutions using computational intelligence techniques Code snippets of the computational intelligence algorithm/techniques used in image and video processing This book is primarily aimed at advanced undergraduates, graduates and researchers in computer science and information technology. Engineers and industry professionals will also find this book useful.
