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Advances In Character Recognition

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Advances In Character Recognition

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Author : Xiaoqing Ding
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-11-07

Advances In Character Recognition written by Xiaoqing Ding and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-07 with Computers categories.

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.

Advances In Character Recognition

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Author : Xiaoqing Ding
language : en
Publisher:
Release Date : 2012

Advances In Character Recognition written by Xiaoqing Ding and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.

Advances In Handwriting Recognition

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Author : Seong-Whan Lee
language : en
Publisher: World Scientific
Release Date : 1999-06-01

Advances In Handwriting Recognition written by Seong-Whan Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-06-01 with Computers categories.

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

Advances In Handwriting Recognition

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Author : Seong-Whan Lee
language : en
Publisher: World Scientific
Release Date : 1999

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.

Character Recognition Systems

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Author : Mohamed Cheriet
language : en
Publisher: John Wiley & Sons
Release Date : 2007-11-27

Character Recognition Systems written by Mohamed Cheriet and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-27 with Technology & Engineering categories.

"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.

Advances In Chinese Document And Text Processing

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Author : Liu Cheng-lin
language : en
Publisher: World Scientific
Release Date : 2017-03-14

Advances In Chinese Document And Text Processing written by Liu Cheng-lin and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-14 with Computers categories.

The book is a collection of invited chapters by experts in Chinese document and text processing, and is part of a series on Language Processing, Pattern Recognition, and Intelligent Systems. The chapters introduce the latest advances and state-of-the-art methods for Chinese document image analysis and recognition, font design, text analysis and speaker recognition. Handwritten Chinese character recognition and text line recognition are at the core of document image analysis (DIA), and therefore, are addressed in four chapters for different scripts (online characters, offline characters, ancient characters, and text lines). Two chapters on character recognition pay much attention to deep convolutional neural networks (CNNs), which are widely used and performing superiorly in various pattern recognition problems. A chapter is contributed to describe a large handwriting database consisting both online and offline characters and text pages. Postal mail reading and writer identification, addressed in two chapters, are important applications of DIA. The collection can serve as reference for students and engineers in Chinese document and text processing and their applications.

Progress In Character Recognition

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Author : Dennis Rankin
language : en
Publisher:
Release Date : 2015-02-10

Progress In Character Recognition written by Dennis Rankin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-10 with Pattern recognition systems categories.

This book discusses the progress in character recognition with the help of descriptive information. It offers insight into the developments in character recognition, and it discusses wide range of topics on various facets of character recognition. This book will serve as a helpful source of reference for academic research, for professionals working in the character recognition areas and for all people interested in this subject.

Syntactic Pattern Recognition Applications

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Author : K.S. Fu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Syntactic Pattern Recognition Applications written by K.S. Fu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.

The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. In the decision-theoretic approach, aset of characteristic measurements, called features, are extracted from the pattems. Each pattem is represented by a feature vector, and the recognition of each pattem is usually made by partitioning the feature space. Applications of decision-theoretic approach indude character recognition, medical diagnosis, remote sensing, reliability and socio-economics. A relatively new approach is the syntactic approach. In the syntactic approach, ea ch pattem is expressed in terms of a composition of its components. The recognition of a pattem is usually made by analyzing the pattem structure according to a given set of rules. Earlier applications of the syntactic approach indude chromosome dassification, English character recognition and identification of bubble and spark chamber events. The purpose of this monograph is to provide a summary of the major reeent applications of syntactic pattem recognition. After a brief introduction of syntactic pattem recognition in Chapter 1, the nin e mai n chapters (Chapters 2-10) can be divided into three parts. The first three chapters concem with the analysis of waveforms using syntactic methods. Specific application examples indude peak detection and interpretation of electro cardiograms and the recognition of speech pattems. The next five chapters deal with the syntactic recognition of two-dimensional pictorial pattems.

Progress In Handwriting Recognition

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Author : Sebastiano Impedovo
language : en
Publisher: World Scientific
Release Date : 1997-07-04

Progress In Handwriting Recognition written by Sebastiano Impedovo and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-07-04 with categories.

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.

Digital Document Processing

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Author : Bidyut B. Chaudhuri
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-13

Digital Document Processing written by Bidyut B. Chaudhuri and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-13 with Computers categories.

This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference source that will be invaluable to a large audience of researchers, lecturers and students working in this field. With chapters written by some of the most distinguished researchers active in this field, this book addresses recent advances in digital document processing research and development.

Advances In Character Recognition

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