Advances in Handwriting Recognition

Advances in Handwriting Recognition PDF Author: Seong-Whan Lee
Publisher: World Scientific
ISBN: 9814495409
Category : Computers
Languages : en
Pages : 600

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Book Description
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

Advances in Handwriting Recognition PDF Author: Seong-Whan Lee
Publisher: World Scientific
ISBN: 9814495409
Category : Computers
Languages : en
Pages : 600

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Book Description
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

Advances in Handwriting Recognition PDF Author: Seong-Whan Lee
Publisher: World Scientific
ISBN: 9789810237158
Category : Computers
Languages : en
Pages : 604

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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.

Progress In Handwriting Recognition

Progress In Handwriting Recognition PDF Author: Sebastiano Impedovo
Publisher: World Scientific
ISBN: 9814546313
Category :
Languages : en
Pages : 646

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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.

Handwriting

Handwriting PDF Author: Byron Leite Dantas Bezerra
Publisher: Nova Science Publishers
ISBN: 9781536119572
Category : COMPUTERS
Languages : en
Pages : 395

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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.

Fundamentals in Handwriting Recognition

Fundamentals in Handwriting Recognition PDF Author: Sebastiano Impedovo
Publisher: Springer Science & Business Media
ISBN: 3642786464
Category : Computers
Languages : en
Pages : 499

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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.

Advances In Pattern Recognition And Artificial Intelligence

Advances In Pattern Recognition And Artificial Intelligence PDF Author: Marleah Blom
Publisher: World Scientific
ISBN: 9811239029
Category : Computers
Languages : en
Pages : 277

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Book Description
This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.

Advances In Chinese Document And Text Processing

Advances In Chinese Document And Text Processing PDF Author: Liu Cheng-lin
Publisher: World Scientific
ISBN: 981314369X
Category : Computers
Languages : en
Pages : 292

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Book Description
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.

Advances in Character Recognition

Advances in Character Recognition PDF Author: Xiaoqing Ding
Publisher: BoD – Books on Demand
ISBN: 9535108239
Category : Computers
Languages : en
Pages : 244

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Book Description
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.

Character and Handwriting Recognition

Character and Handwriting Recognition PDF Author: P S P Wang
Publisher: World Scientific
ISBN: 9814602787
Category :
Languages : en
Pages : 396

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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. 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

Fundamentals in Handwriting Recognition PDF Author: Sebastiano Impedovo
Publisher: Springer
ISBN:
Category : Computers
Languages : en
Pages : 520

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Book Description
This book focuses on the fundamental tools and ideas thatare generally usedin the handwriting recognition field.Though one of the oldest fields of computer patternrecognition, this topic is now attracting growing numbers ofresearchers in universities and development engineers inindustry.The volume is based on a NATO Advanced Study Institute thattook place in France in 1993. The most important algorithmsfor data acquisition, preprocessing, feature extraction, andclassification, andthe commonest database and devices foron-line and off-line recognition are presented. The role ofparallel machines and special networks in solving problemsin the field are also discussed.