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Author: Sebastiano Impedovo Publisher: Springer Science & Business Media ISBN: 3642786464 Category : Computers Languages : en Pages : 499
Book Description
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.
Author: Sebastiano Impedovo Publisher: Springer Science & Business Media ISBN: 3642786464 Category : Computers Languages : en Pages : 499
Book Description
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.
Author: Fouad Sabry Publisher: One Billion Knowledgeable ISBN: Category : Computers Languages : en Pages : 109
Book Description
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.
Author: Heidi H. Harralson Publisher: CRC Press ISBN: 1351648500 Category : Law Languages : en Pages : 614
Book Description
"Forensic document examination is the study of physical evidence and physical evidence cannot lie. Only its interpretation can err. Only the failure to find it, or to hear its true testimony can deprive it of its value."—Roy Huber This is a comprehensive update of Huber and Headrick's seminal work on handwriting examination. New coverage includes a review of forensic handwriting examination research, handwriting analysis training and proficiency, revised methods and procedures, an updated listing and clarification of terminology and electronic signatures, the analysis of digitized handwriting, and other related technological advances. The book includes updated photographs, several added illustrations, and advances in techniques based on the scientific research conducted in the area over the last 20 years. Features of the new edition include: The latest on electronic signatures, digital handwriting, automated handwriting verification, and the many advances in technology and research over the last two decades An overview of the fundamentals of handwriting examination with updated discussion of the intrinsic and extrinsic variables associated with handwriting identification A review of the criticism of handwriting expert opinions and methodology, addressing both the strengths and scientific limitations of the area Fully revised while remaining true to the spirit and approach of original authors Roy Huber and A. M. Headrick Addition of nearly 200 new references and new glossary terms representing advances in research and methods. With extensive photographs to help clearly illustrate concepts, Huber and Headrick’s Handwriting Identification: Facts and Fundamentals, Second Edition serves as an invaluable reference to law libraries, practicing document examiners, forensic and criminal justice students, and every lawyer handling cases in which the authenticity of handwriting and documents might be disputed.
Author: Marvin L. Simner Publisher: IOS Press ISBN: 9789051992809 Category : Art Languages : en Pages : 550
Book Description
A collection of articles representing progress in the major areas of fundamental and applied handwriting research. Areas covered are: behavioural and cognitive science; development, education and neuroscience; computer analysis and recognition; and forensic document examination.
Author: Sebastiano Impedovo Publisher: World Scientific ISBN: 9814546313 Category : Languages : en Pages : 646
Book Description
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.
Author: Patrick S P Wang Publisher: World Scientific ISBN: 9814602787 Category : Languages : en Pages : 398
Book Description
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.
Author: Seong-Whan Lee Publisher: World Scientific ISBN: 9789810237158 Category : Computers Languages : en Pages : 604
Book Description
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.
Author: Byron Leite Dantas Bezerra Publisher: Nova Science Publishers ISBN: 9781536119572 Category : COMPUTERS Languages : en Pages : 395
Book Description
This book has the primary goal of presenting and discussing some recent advances and ongoing developments in the Handwritten Text Recognition (HTR) field, resulting from works done on different HTR-related topics for the achievement of more accurate and efficient recognition systems. Nowadays, there is an enormous worldwide interest in HTR systems, which is mostly driven by the emergence of new portable devices incorporating handwriting recognition functions. Others interests are the biometric identification systems employing handwritten signatures, as well as the requirements from cultural heritage institutions like historical archives and libraries in order to preserve their large collections of historical (handwritten) documents. The book is organized into two sections: the first one is mainly devoted to describing the current state-of-the-art applications in HTR and the last advances in some of the steps involved in HTR workflow (that is, preprocessing, feature extraction, recognition engines, etc.), whereas the second focuses more on some relevant HTR-related applications.In more depth, the first part offers an overview of the current state-of-the-art applications of HTR technology and introduces the new challenges and research opportunities in the field. Besides, it provides a general discussion of currently ongoing approaches towards solving the underlying search problems on the basis of existing methods for HTR in terms of both accuracy and efficiency. In particular, there are chapters especially focused on image thresholding and enhancement, text image preprocessing techniques for historical handwritten documents and feature extraction methods for HTR. Likewise, in line with the breakout success of Deep Neural Networks (DNNs) in the field, a whole chapter is devoted to describing the designing of HTR systems based on DNNs. Finally, a chapter listing the most used benchmarking datasets for HTR is also included, providing detailed information about which types of HTR systems (on/offline) and features are commonly considered for each of them.In the second part, several systems -- also developed on the basis of the fundamental concepts and general approaches outlined in the first part -- are described for several HTR-related applications. Presented in the corresponding chapters, these applications cover a wide spectrum of scenarios: mathematical formulae recognition, scripting language recognition, multimodal handwriting-speech recognition, hardware design for online HTR, student performance evaluation through handwriting analysis, performance evaluation methods, keyword spotting, and handwritten signature verification systems.Last but not least, it is important to remark that to a large extent, this book is the result of works carried out by several researchers in the Handwritten Text Recognition field.Therefore, it owes credit to these researchers that have directly contributed to their ideas, discussions and technical collaborations, and in general who, in one manner or another, have made it possible.
Author: Fouad Sabry Publisher: One Billion Knowledgeable ISBN: Category : Computers Languages : en Pages : 79
Book Description
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.
Author: Horst Bunke Publisher: World Scientific ISBN: 9814500380 Category : Computers Languages : en Pages : 851
Book Description
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.