Optical Character Recognition Using Neural Networks

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Optical Character Recognition Systems for Different Languages with Soft Computing

Author : Arindam Chaudhuri
Publisher : Springer
ISBN 13 : 3319502522
Total Pages : 260 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Optical Character Recognition Systems for Different Languages with Soft Computing by : Arindam Chaudhuri

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.

2017 International Conference on Computer Communication and Informatics (ICCCI)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781467388542
Total Pages : pages
Book Rating : 4.3/5 (885 download)

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Book Synopsis 2017 International Conference on Computer Communication and Informatics (ICCCI) by : IEEE Staff

Download or read book 2017 International Conference on Computer Communication and Informatics (ICCCI) written by IEEE Staff and published by . This book was released on 2017-01-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2017 International Conference on Computer Communication and Informatics (ICCCI) aims to provide an outstanding opportunity for both academic and industrial communities alike to address new trends and challenges and emerging technologies on topics relevant to today s fast moving areas of Computer, Communication and Informatics The conference will feature invited talks and referred paper presentations The vision of ICCCI is to develop foster communication among researchers and practitioners working in a wide variety of areas in communication and informatics with a common interest

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014

Author : Suresh Chandra Satapathy
Publisher : Springer
ISBN 13 : 3319120123
Total Pages : 783 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 by : Suresh Chandra Satapathy

Download or read book Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 written by Suresh Chandra Satapathy and published by Springer. This book was released on 2014-10-31 with total page 783 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains 87 papers presented at FICTA 2014: Third International Conference on Frontiers in Intelligent Computing: Theory and Applications. The conference was held during 14-15, November, 2014 at Bhubaneswar, Odisha, India. This volume contains papers mainly focused on Network and Information Security, Grid Computing and Clod Computing, Cyber Security and Digital Forensics, Computer Vision, Signal, Image & Video Processing, Software Engineering in Multidisciplinary Domains and Ad-hoc and Wireless Sensor Networks.

Deep Learning

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110670925
Total Pages : 212 pages
Book Rating : 4.1/5 (16 download)

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Book Synopsis Deep Learning by : Siddhartha Bhattacharyya

Download or read book Deep Learning written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-06-22 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition.

Scientific and Engineering Problem-solving with the Computer

Author : William Ralph Bennett
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Scientific and Engineering Problem-solving with the Computer by : William Ralph Bennett

Download or read book Scientific and Engineering Problem-solving with the Computer written by William Ralph Bennett and published by Prentice Hall. This book was released on 1976 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introductory computer applications course for students in both the humanities and physical sciences.

Character Recognition Systems

Author : Mohamed Cheriet
Publisher : John Wiley & Sons
ISBN 13 : 9780470176528
Total Pages : 351 pages
Book Rating : 4.1/5 (765 download)

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Book Synopsis Character Recognition Systems by : Mohamed Cheriet

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.

Neural Networks in Telecommunications

Author : Ben Yuhas
Publisher : Springer Science & Business Media
ISBN 13 : 1461527341
Total Pages : 374 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Neural Networks in Telecommunications by : Ben Yuhas

Download or read book Neural Networks in Telecommunications written by Ben Yuhas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks in Telecommunications consists of a carefully edited collection of chapters that provides an overview of a wide range of telecommunications tasks being addressed with neural networks. These tasks range from the design and control of the underlying transport network to the filtering, interpretation and manipulation of the transported media. The chapters focus on specific applications, describe specific solutions and demonstrate the benefits that neural networks can provide. By doing this, the authors demonstrate that neural networks should be another tool in the telecommunications engineer's toolbox. Neural networks offer the computational power of nonlinear techniques, while providing a natural path to efficient massively-parallel hardware implementations. In addition, the ability of neural networks to learn allows them to be used on problems where straightforward heuristic or rule-based solutions do not exist. Together these capabilities mean that neural networks offer unique solutions to problems in telecommunications. For engineers and managers in telecommunications, Neural Networks in Telecommunications provides a single point of access to the work being done by leading researchers in this field, and furnishes an in-depth description of neural network applications.

Handbook Of Character Recognition And Document Image Analysis

Author : Horst Bunke
Publisher : World Scientific
ISBN 13 : 9814500380
Total Pages : 851 pages
Book Rating : 4.8/5 (145 download)

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Book Synopsis Handbook Of Character Recognition And Document Image Analysis by : Horst Bunke

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.

Optical Character Recognition

Author : Stephen V. Rice
Publisher : Springer Science & Business Media
ISBN 13 : 1461550211
Total Pages : 198 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Optical Character Recognition by : Stephen V. Rice

Download or read book Optical Character Recognition written by Stephen V. Rice and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The History of OCR, Optical Character Recognition

Author : Herbert F. Schantz
Publisher :
ISBN 13 :
Total Pages : 136 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The History of OCR, Optical Character Recognition by : Herbert F. Schantz

Download or read book The History of OCR, Optical Character Recognition written by Herbert F. Schantz and published by . This book was released on 1982 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Analysis and Deep Learning for Medical Care

Author : Amit Kumar Tyagi
Publisher : John Wiley & Sons
ISBN 13 : 1119785723
Total Pages : 532 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Computational Analysis and Deep Learning for Medical Care by : Amit Kumar Tyagi

Download or read book Computational Analysis and Deep Learning for Medical Care written by Amit Kumar Tyagi and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book details deep learning models like ANN, RNN, LSTM, in many industrial sectors such as transportation, healthcare, military, agriculture, with valid and effective results, which will help researchers find solutions to their deep learning research problems. We have entered the era of smart world devices, where robots or machines are being used in most applications to solve real-world problems. These smart machines/devices reduce the burden on doctors, which in turn make their lives easier and the lives of their patients better, thereby increasing patient longevity, which is the ultimate goal of computer vision. Therefore, the goal in writing this book is to attempt to provide complete information on reliable deep learning models required for e-healthcare applications. Ways in which deep learning can enhance healthcare images or text data for making useful decisions are discussed. Also presented are reliable deep learning models, such as neural networks, convolutional neural networks, backpropagation, and recurrent neural networks, which are increasingly being used in medical image processing, including for colorization of black and white X-ray images, automatic machine translation images, object classification in photographs/images (CT scans), character or useful generation (ECG), image caption generation, etc. Hence, reliable deep learning methods for the perception or production of better results are a necessity for highly effective e-healthcare applications. Currently, the most difficult data-related problem that needs to be solved concerns the rapid increase of data occurring each day via billions of smart devices. To address the growing amount of data in healthcare applications, challenges such as not having standard tools, efficient algorithms, and a sufficient number of skilled data scientists need to be overcome. Hence, there is growing interest in investigating deep learning models and their use in e-healthcare applications. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in transportation, healthcare, biomedicine, military, agriculture.

Proceedings of Sixth International Congress on Information and Communication Technology

Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 9811621020
Total Pages : 883 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of Sixth International Congress on Information and Communication Technology by : Xin-She Yang

Download or read book Proceedings of Sixth International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer Nature. This book was released on 2021-10-26 with total page 883 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the Sixth International Congress on Information and Communication Technology, held at Brunel University, London, on February 25–26, 2021. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The book is presented in four volumes.

Classic Works of the Dempster-Shafer Theory of Belief Functions

Author : Ronald R. Yager
Publisher : Springer
ISBN 13 : 354044792X
Total Pages : 813 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Classic Works of the Dempster-Shafer Theory of Belief Functions by : Ronald R. Yager

Download or read book Classic Works of the Dempster-Shafer Theory of Belief Functions written by Ronald R. Yager and published by Springer. This book was released on 2008-01-22 with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a collection of classic research papers on the Dempster-Shafer theory of belief functions. The book is the authoritative reference in the field of evidential reasoning and an important archival reference in a wide range of areas including uncertainty reasoning in artificial intelligence and decision making in economics, engineering, and management. The book includes a foreword reflecting the development of the theory in the last forty years.

2021 International Conference on Intelligent Technologies (CONIT)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728185842
Total Pages : pages
Book Rating : 4.1/5 (858 download)

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Book Synopsis 2021 International Conference on Intelligent Technologies (CONIT) by : IEEE Staff

Download or read book 2021 International Conference on Intelligent Technologies (CONIT) written by IEEE Staff and published by . This book was released on 2021-06-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of the conference include, but not limited to, the following Aerospace Technology Antenna & Microwave Biomedical Engineering Circuits and Systems Machine Learning, Cloud and Data Analytics Computer Architecture & Systems Devices, Materials & Processing Disasters and Humanitarian Technology Engineering Management Engineering Education Marine and Offshore Engineering Multimedia Engineering Photonics Power & Energy Robotics, Control Systems & Theory Signal and Image Processing Software & Database Systems Social Implications of Technology Wireless Communications & Networks

Machine Learning in Document Analysis and Recognition

Author : Simone Marinai
Publisher : Springer Science & Business Media
ISBN 13 : 3540762795
Total Pages : 435 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Machine Learning in Document Analysis and Recognition by : Simone Marinai

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.

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Applications of Artificial Intelligence Techniques in Engineering

Author : Hasmat Malik
Publisher : Springer
ISBN 13 : 9811318220
Total Pages : 630 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Applications of Artificial Intelligence Techniques in Engineering by : Hasmat Malik

Download or read book Applications of Artificial Intelligence Techniques in Engineering written by Hasmat Malik and published by Springer. This book was released on 2018-09-18 with total page 630 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.