Character And Handwriting Recognition

Character And Handwriting Recognition Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Character And Handwriting Recognition book. This book definitely worth reading, it is an incredibly well-written.

Character and Handwriting Recognition

Author : P S P Wang
Publisher : World Scientific
Page : 396 pages
File Size : 48,8 Mb
Release : 1991-08-29
Category : Electronic
ISBN : 9789814602785

Get Book

Character and Handwriting Recognition by P S P Wang Pdf

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. Contents: Foreword (C Y Suen)OCR and Off-Line Character Recognition:Optical Character Recognition — A Survey (S Impedovo et al.)Transformation-Ring-Projection (TRP) Algorithm and its VLSI Implementation (Y Y Tang et al.)Regularities and Singularities in Line Pictures (J C Simon & O Baret)On-Line Character Recognition:Speed, Accuracy, and Flexibility Trade-Offs in On-Line Character Recognition (C C Tappert)Chinese and Japanese Character Recognition: Some Research Achievements on Chinese Character Recognition in China (J-W Tai)Applications:Understanding Handwritten Text in a Structured Environment: Determining ZIP Codes from Addresses (E Cohen et al.)A Structural Approach to On-Line Character Recognition: System Design and Applications (F Nouboud & R Plamondon)Progress in Verification of Skillfully Simulated Handwritten Signatures (M Ammar)and other papers Readership: Computer scientists, engineers, researchers and industrialists.

Fundamentals in Handwriting Recognition

Author : Sebastiano Impedovo
Publisher : Springer Science & Business Media
Page : 499 pages
File Size : 55,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642786464

Get Book

Fundamentals in Handwriting Recognition by Sebastiano Impedovo Pdf

For many years researchers in the field of Handwriting Recognition were considered to be working in an area of minor importance in Pattern Recog nition. They had only the possibility to present the results of their research at general conferences such as the ICPR or publish their papers in journals such as some of the IEEE series or PR, together with many other papers generally oriented to the more promising areas of Pattern Recognition. The series of International Workshops on Frontiers in Handwriting Recog nition and International Conferences on Document Analysis and Recognition together with some special issues of several journals are now fulfilling the expectations of many researchers who have been attracted to this area and are involving many academic institutions and industrial companies. But in order to facilitate the introduction of young researchers into the field and give them both theoretically and practically powerful tools, it is now time that some high level teaching schools in handwriting recognition be held, also in order to unite the foundations of the field. Therefore it was my pleasure to organize the NATO Advanced Study Institute on Fundamentals in Handwriting Recognition that had its origin in many exchanges among the most important specialists in the field, during the International Workshops on Frontiers in Handwriting Recognition.

Progress In Handwriting Recognition

Author : Sebastiano Impedovo,Andrew C Downton
Publisher : World Scientific
Page : 646 pages
File Size : 50,6 Mb
Release : 1997-07-04
Category : Electronic
ISBN : 9789814546317

Get Book

Progress In Handwriting Recognition by Sebastiano Impedovo,Andrew C Downton Pdf

Handwriting Recognition has become a very important research area which is attracting more and more scientists. In fact, the extraordinary advances in the field of data acquisition technology and the promising results of the research, nowadays make possible the development of commercial systems for processing and recognition of handwritten documents.This book contains the results of the activity of the most important academic and industrial research groups working in this area. The new issues arising in the field are focused and involve both theoretical and practical aspects related to handwriting recognition and document processing systems. The contributions of eminent experts point out the more interesting challenges for the scientific community ranging from acquisition and preprocessing of handwritten documents, to recognition of handwritten digits and words, to the design of multi-expert systems and the exploitation of the contextual knowledge to improve system performance.

Character Recognition Systems

Author : Mohamed Cheriet,Nawwaf Kharma,Cheng-Lin Liu,Ching Suen
Publisher : John Wiley & Sons
Page : 351 pages
File Size : 51,6 Mb
Release : 2007-11-27
Category : Technology & Engineering
ISBN : 0470176520

Get Book

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.

Handbook Of Character Recognition And Document Image Analysis

Author : Horst Bunke,Patrick S P Wang
Publisher : World Scientific
Page : 851 pages
File Size : 40,9 Mb
Release : 1997-05-02
Category : Computers
ISBN : 9789814500388

Get Book

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.

Advances in Handwriting Recognition

Author : Seong-Whan Lee
Publisher : World Scientific
Page : 604 pages
File Size : 44,8 Mb
Release : 1999
Category : Computers
ISBN : 9810237154

Get Book

Advances in Handwriting Recognition by Seong-Whan Lee Pdf

Frontiers in Handwriting Recognition contains selected key papers from the 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR '98), held in Taejon, Korea from 12 to 14, August 1998. Most of the papers have been expanded or extensively revised to include helpful discussions, suggestions or comments made during the workshop.

Advances in Handwriting Recognition

Author : Seong-Whan Lee
Publisher : World Scientific
Page : 600 pages
File Size : 49,6 Mb
Release : 1999-06-01
Category : Computers
ISBN : 9789814495400

Get Book

Advances in Handwriting Recognition by Seong-Whan Lee Pdf

Advances in Handwriting Recognition contains selected key papers from the 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR '98), held in Taejon, Korea from 12 to 14, August 1998. Most of the papers have been expanded or extensively revised to include helpful discussions, suggestions or comments made during the workshop. Contents:On-Line Hand Writing Recognition by Discrete HMM with Fast Learning (H Yasuda et al.)Diacritical Processing Using Efficient Accounting Procedures in a Forward Search (G Seni & J Seybold)A Handwritten Form Reader Architecture (C Cracknell & A C Downton)Combining Different Classifiers and Level of Knowledge: A First Step Towards an Adaptive Recognition System (D Ollivier et al.)Architecture for Handwritten Text Recognition Systems (G Kim et al.)Search Algorithms for the Recognition of Cursive Phrases Without World Segmentation (C Scagliola)A Method for the Determination of Features Used in Human Reading of Cursive Handwriting (L Schomaker & E Segers)Global Methods for Stroke Segmentation (Y Nakajima et al.)An Advanced Segmentation Technique for Cursive Word Recognition (G Dimauro et al.)Document Understanding Based on Maximum a Posteriori Probability Estimation (T Akagi & H Mizutani)Combining Shape Matrices and HMMs for Hand-Drawn Pictogram Recognition (S Muller et al.)and other papers Readership: Researchers and graduate students in computer science and electrical engineering. Keywords:Handwriting Recognition;Character Recognition;Document Analysis and Recognition;OCR (Optical Character Recognition);Online Recognition;Offline Recognition;Pen-Computing

Computational Analysis and Deep Learning for Medical Care

Author : Amit Kumar Tyagi
Publisher : John Wiley & Sons
Page : 532 pages
File Size : 49,8 Mb
Release : 2021-08-24
Category : Computers
ISBN : 9781119785729

Get Book

Computational Analysis and Deep Learning for Medical Care by Amit Kumar Tyagi Pdf

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.

Swarm, Evolutionary, and Memetic Computing

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy
Publisher : Springer
Page : 754 pages
File Size : 51,7 Mb
Release : 2011-12-15
Category : Computers
ISBN : 9783642271724

Get Book

Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy Pdf

These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.

Chinese Handwriting Recognition: An Algorithmic Perspective

Author : Tonghua Su
Publisher : Springer Science & Business Media
Page : 133 pages
File Size : 46,8 Mb
Release : 2013-01-11
Category : Computers
ISBN : 9783642318122

Get Book

Chinese Handwriting Recognition: An Algorithmic Perspective by Tonghua Su Pdf

Designing machines that can read handwriting like human beings has been an ambitious goal for more than half a century, driving talented researchers to explore diverse approaches. Obstacles have often been encountered that at first appeared insurmountable but were indeed overcome before long. Yet some open issues remain to be solved. As an indispensable branch, Chinese handwriting recognition has been termed as one of the most difficult Pattern Recognition tasks. Chinese handwriting recognition poses its own unique challenges, such as huge variations in strokes, diversity of writing styles, and a large set of confusable categories. With ever-increasing training data, researchers have pursued elaborate algorithms to discern characters from different categories and compensate for the sample variations within the same category. As a result, Chinese handwriting recognition has evolved substantially and amazing achievements can be seen. This book introduces integral algorithms used in Chinese handwriting recognition and the applications of Chinese handwriting recogniers. The first part of the book covers both widespread canonical algorithms to a reliable recognizer and newly developed scalable methods in Chinese handwriting recognition. The recognition of Chinese handwritten text is presented systematically, including instructive guidelines for collecting samples, novel recognition paradigms, distributed discriminative learning of appearance models and distributed estimation of contextual models for large categories, in addition to celebrated methods, e.g. Gradient features, MQDF and HMMs. In the second part of this book, endeavors are made to create a friendlier human-machine interface through application of Chinese handwriting recognition. Four scenarios are exemplified: grid-assisted input, shortest moving input, handwritten micro-blog, and instant handwriting messenger. All the while, the book moves from basic to more complex approaches, also providing a list for further reading with literature comments.

From Pixels to Features III

Author : Sebastiano Impedovo,Jean Claude Simon
Publisher : North Holland
Page : 540 pages
File Size : 46,7 Mb
Release : 1992
Category : Computers
ISBN : UOM:39015033145205

Get Book

From Pixels to Features III by Sebastiano Impedovo,Jean Claude Simon Pdf

The papers in this volume deal specifically with the problem of handwriting recognition and the new frontiers of research in the scientific community - including the significance of linguistic and contextual information in handwriting recognition and for adaptive preprocessing and postprocessing. Also addressed are problems related to human and computer behaviour in recognition. The aim of this book is not only to point out the state-of-the-art and the frontiers in the field of handwriting recognition, but also to stimulate research and ideas in the fields of design and implementation of on-line and off-line systems that recognize isolated and connected handwritten characters, words and signatures."

Computer Recognition Systems 2

Author : Marek Kurzynski,Edward Puchala,Michal Wozniak,Andrzej Zolnierek
Publisher : Springer Science & Business Media
Page : 864 pages
File Size : 55,9 Mb
Release : 2007-10-18
Category : Computers
ISBN : 9783540751755

Get Book

Computer Recognition Systems 2 by Marek Kurzynski,Edward Puchala,Michal Wozniak,Andrzej Zolnierek Pdf

This book presents the results of the 5th International Conference on Computer Recognition Systems CORES’07 held 22-25 October 2007 in Hotel Tumski, Wroclaw, Poland. It brings together original research results in both methodological issues and different application areas of pattern recognition. The contributions cover all topics in pattern recognition including, for example, classification and interpretation of text, video, and voice.

Advances in Character Recognition

Author : Xiaoqing Ding
Publisher : BoD – Books on Demand
Page : 244 pages
File Size : 46,5 Mb
Release : 2012-11-07
Category : Computers
ISBN : 9789535108238

Get Book

Advances in Character Recognition by Xiaoqing Ding Pdf

This book presents advances in character recognition, and it consists of 12 chapters that cover wide range of topics on different aspects of character recognition. Hopefully, this book will serve as a reference source for academic research, for professionals working in the character recognition field and for all interested in the subject.

Handwriting Recognition

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 109 pages
File Size : 54,5 Mb
Release : 2023-07-06
Category : Computers
ISBN : PKEY:6610000476268

Get Book

Handwriting Recognition by Fouad Sabry Pdf

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.

Handbook of Character Recognition and Document Image Analysis

Author : Horst Bunke,Patrick Shen-pei Wang
Publisher : World Scientific
Page : 868 pages
File Size : 52,5 Mb
Release : 1997
Category : Computers
ISBN : 981022270X

Get Book

Handbook of Character Recognition and Document Image Analysis by Horst Bunke,Patrick Shen-pei 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.