Arabic And Chinese Handwriting Recognition
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Arabic And Chinese Handwriting Recognition
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Author : David Doermann
language : en
Publisher: Springer
Release Date : 2008-03-13
Arabic And Chinese Handwriting Recognition written by David Doermann and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-13 with Computers categories.
In the fall of 2006, the University of Maryland, along with various government and industrial sponsors, invited leading researchers from all over the world to a two-day Summit on Arabic and Chinese Handwriting Recognition (SACH 2006). The event acted as a complement to the biennial Symposium on Document Image Understanding Technology (SDIUT), providing a focused glimpse into the state of the art in Arabic and Chinese handwriting recognition. It offered a forum for interaction with prominent researchers at the forefront of the scientific community and provided an opportunity for participants to help explore possible directions of the field. This book is a result of the expansion, peer review, and revision of selected papers presented at this meeting. Handwriting recognition remains the Holy Grail of document analysis, and Arabic and Chinese scripts embrace many of the most significant challenges. We are pleased to have 16 scientific papers covering the original topics of handwritten Arabic and Chinese, as well as 2 papers covering other handwritten scripts. We asked each author to not only describe the techniques used in addressing the problem, but to attempt to identify the key research challenges and problems that the community faces. The result is an impressive collection of manuscripts that provide various detailed views of the state of research. In this book, six articles deal directly with Arabic handwriting. • Cheriet provides an overview of the problems of Arabic recognition and how systems can use natural language processing techniques to correct errors in lexicon-based systems.
Arabic And Chinese Handwriting Recognition
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Author : David Scott Doermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-04-03
Arabic And Chinese Handwriting Recognition written by David Scott Doermann 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 2008-04-03 with Computers categories.
The book constitutes the refereed proceedings of the Summit on Arabic and Chinese Handwriting Recognition, SACH 2006, held in College Park, USA, September 27-28, 2006. The 16 revised full papers presented were carefully reviewed and selected from a total of over 60 submissions. The first six papers deal directly with Arabic handwriting together with a short historic survey of the language and techniques used in recognition. Five papers present the current research in Chinese handwriting and three more papers deal with cross cutting methods applied to other languages. The book closes with two articles on recognition of English and south Indian handwriting.
Arabic Online Handwriting Recognition
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Author :
language : en
Publisher:
Release Date : 2008
Arabic Online Handwriting Recognition written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Markov Models For Handwriting Recognition
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Author : Thomas Plötz
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-02
Markov Models For Handwriting Recognition written by Thomas Plötz 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 2012-02-02 with Computers categories.
Since their first inception, automatic reading systems have evolved substantially, yet the recognition of handwriting remains an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, no standard procedures for building Markov model-based recognizers have yet been established. This text provides a comprehensive overview of the application of Markov models in the field of handwriting recognition, covering both hidden Markov models and Markov-chain or n-gram models. First, the text introduces the typical architecture of a Markov model-based handwriting recognition system, and familiarizes the reader with the essential theoretical concepts behind Markovian models. Then, the text reviews proposed solutions in the literature for open problems in applying Markov model-based approaches to automatic handwriting recognition.
Chinese Handwriting Recognition An Algorithmic Perspective
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Author : Tonghua Su
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-11
Chinese Handwriting Recognition An Algorithmic Perspective written by Tonghua Su 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 2013-01-11 with Computers categories.
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.
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.
Guide To Ocr For Arabic Scripts
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Author : Volker Märgner
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-03
Guide To Ocr For Arabic Scripts written by Volker Märgner 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 2012-07-03 with Computers categories.
This Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field. Topics and features: contains contributions from the leading researchers in the field; with a Foreword by Professor Bente Maegaard of the University of Copenhagen; presents a detailed overview of Arabic character recognition technology, covering a range of different aspects of pre-processing and feature extraction; reviews a broad selection of varying approaches, including HMM-based methods and a recognition system based on multidimensional recurrent neural networks; examines the evaluation of Arabic script recognition systems, discussing data collection and annotation, benchmarking strategies, and handwriting recognition competitions; describes numerous applications of Arabic script recognition technology, from historical Arabic manuscripts to online Arabic recognition.
Feature Based Arabic Handwriting Recognition For Teaching Illiterates
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Author : Mohammad Amin Abou Harb
language : en
Publisher:
Release Date : 2011
Feature Based Arabic Handwriting Recognition For Teaching Illiterates written by Mohammad Amin Abou Harb and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Handbook Of Research On Artificial Intelligence Techniques And Algorithms
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Author : Vasant, Pandian
language : en
Publisher: IGI Global
Release Date : 2014-11-30
Handbook Of Research On Artificial Intelligence Techniques And Algorithms written by Vasant, Pandian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-30 with Computers categories.
For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners.
A Large Vocabulary Online Handwriting Recognition System For Turkish
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Author : Esma Fatıma Bilgin Taşdemir
language : en
Publisher: Cinius Yayınları
Release Date : 2021-12-01
A Large Vocabulary Online Handwriting Recognition System For Turkish written by Esma Fatıma Bilgin Taşdemir and has been published by Cinius Yayınları this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-01 with Fiction categories.
Handwriting recognition in general and online handwriting recognition in particular has been an active research area for several decades. Most of the research have been focused on English and recently on other scripts like Arabic and Chinese. There is a lack of research on recognition in Turkish text and this work primarily fills that gap with a state-of-the-art recognizer for the first time. It contains design and implementation details of a complete recognition system for recognition of Turkish isolated words. It considers the recognition of unconstrained handwriting with a limited vocabulary size first and then evolves to a large vocabulary system. Turkish script has many similarities with other Latin scripts, like English, which makes it possible to adapt strategies that work for them. However, there are some other issues which are particular to Turkish that should be taken into consideration separately. Two of the challenging issues in recognition of Turkish text are determined as delayed strokes and high Out-of-Vocabulary (OOV). This work examines these problems and alternative solutions at depth and proposes suitable solutions for Turkish script particularly.