Markov Models For Unconstrained Handwriting Recognition
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Markov Models For Unconstrained Handwriting Recognition
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Author : Jinhai Cai
language : en
Publisher:
Release Date : 1999
Markov Models For Unconstrained Handwriting Recognition written by Jinhai Cai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Markov random fields 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.
Handwriting Recognition
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Author : Zhi-Qiang Liu
language : en
Publisher: Springer
Release Date : 2012-11-07
Handwriting Recognition written by Zhi-Qiang Liu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-07 with Computers categories.
Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code reading, data acquisition in banks, text-voice conversion, security, etc. As the prices of scanners, com puters and handwriting-input devices are falling steadily, we have seen an increased demand for handwriting recognition systems and software pack ages. Some commercial handwriting recognition systems are now available in the market. Current commercial systems have an impressive performance in recognizing machine-printed characters and neatly written texts. For in stance, High-Tech Solutions in Israel has developed several products for container ID recognition, car license plate recognition and package label recognition. Xerox in the U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficulties encoun tered in recognizing unconstrained handwritings are mainly caused by huge variations in writing styles and the overlapping and the interconnection of neighboring characters. Furthermore, many applications demand very high recognition accuracy and reliability. For example, in the banking sector, although automated teller machines (ATMs) and networked banking sys tems are now widely available, many transactions are still carried out in the form of cheques.
Markov Models For Pattern Recognition
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Author : Gernot A. Fink
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-14
Markov Models For Pattern Recognition written by Gernot A. Fink 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 2014-01-14 with Computers categories.
This thoroughly revised and expanded new edition now includes a more detailed treatment of the EM algorithm, a description of an efficient approximate Viterbi-training procedure, a theoretical derivation of the perplexity measure and coverage of multi-pass decoding based on n-best search. Supporting the discussion of the theoretical foundations of Markov modeling, special emphasis is also placed on practical algorithmic solutions. Features: introduces the formal framework for Markov models; covers the robust handling of probability quantities; presents methods for the configuration of hidden Markov models for specific application areas; describes important methods for efficient processing of Markov models, and the adaptation of the models to different tasks; examines algorithms for searching within the complex solution spaces that result from the joint application of Markov chain and hidden Markov models; reviews key applications of Markov models.
Hidden Markov Models Applications In Computer Vision
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 2001-06-04
Hidden Markov Models Applications In Computer Vision written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-06-04 with Computers categories.
Hidden Markov models (HMMs) originally emerged in the domain of speech recognition. In recent years, they have attracted growing interest in the area of computer vision as well. This book is a collection of articles on new developments in the theory of HMMs and their application in computer vision. It addresses topics such as handwriting recognition, shape recognition, face and gesture recognition, tracking, and image database retrieval.This book is also published as a special issue of the International Journal of Pattern Recognition and Artificial Intelligence (February 2001).
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.
A Comparison Of Hidden Markov Model Features For The Recognition Of Cursive Handwriting
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Author : Scott Connell
language : en
Publisher:
Release Date : 1996
A Comparison Of Hidden Markov Model Features For The Recognition Of Cursive Handwriting written by Scott Connell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Markov processes categories.
Handwriting Recognition Using Neural Networks And Hidden Markov Models
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Author : Markus E. Schenkel
language : en
Publisher:
Release Date : 1995
Handwriting Recognition Using Neural Networks And Hidden Markov Models written by Markus E. Schenkel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Markov processes categories.
"This work presents a writer independent system for on-line handwriting recognition which processes cursive script and handprint in a variety of writing styles. It uses a combination of artificial neural netsorks and hidden Markov models. Its main features are: word level recognition, training from examples, recognition based segmentation and integration of contextual information"--Page 4 of cover.
Fundamentals In Handwriting Recognition
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Author : Sebastiano Impedovo
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Fundamentals In Handwriting Recognition written by Sebastiano Impedovo 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 Computers categories.
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.
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.