Handwriting Recognition Using Neural Networks And Hidden Markov Models
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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.
Context Sensitive Optical Character Recognition Using Neural Networks And Hidden Markov Models
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Author : Steven C. Elliott
language : en
Publisher:
Release Date : 1992
Context Sensitive Optical Character Recognition Using Neural Networks And Hidden Markov Models written by Steven C. Elliott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Markov processes categories.
"This thesis investigates a method for using contextual information in text recognition. This is based on the premise that, while reading, humans recognize words with missing or garbled characters by examining the surrounding characters and then selecting the appropriate character. The correct character is chosen based on an inherent knowledge of the language and spelling techniques. We can then model this statistically. The approach taken by this Thesis is to combine feature extraction techniques, Neural Networks and Hidden Markov Modeling. This method of character recognition involves a three step process: pixel image preprocessing, neural network classification and context interpretation. Pixel image preprocessing applies a feature extraction algorithm to original bit mapped images, which produces a feature vector for the original images which are input into a neural network. The neural network performs the initial classification of the characters by producing ten weights, one for each character. The magnitude of the weight is translated into the confidence the network has in each of the choices. The greater the magnitude and separation, the more confident the neural network is of a given choice. The output of the neural network is the input for a context interpreter. The context interpreter uses Hidden Markov Modeling (HMM) techniques to determine the most probable classification for all characters based on the characters that precede that character and character pair statistics. The HMMs are built using an a priori knowledge of the language: a statistical description of the probabilities of digrams. Experimentation and verification of this method combines the development and use of a preprocessor program, a Cascade Correlation Neural Network and a HMM context interpreter program. Results from these experiments show the neural network successfully classified 88.2 percent of the characters. Expanding this to the word level, 63 percent of the words were correctly identified. Adding the Hidden Markov Modeling improved the word recognition to 82.9 percent."--Abstract.
Offline Handwriting Recognition Using Artificial Neural Network And Hidden Markov Model
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Author : Yong Haur Tay
language : en
Publisher:
Release Date : 2002
Offline Handwriting Recognition Using Artificial Neural Network And Hidden Markov Model written by Yong Haur Tay and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Artificial intelligence categories.
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.
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.
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).
Advances In Handwriting Recognition
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Author : Seong-Whan Lee
language : en
Publisher: World Scientific
Release Date : 1999
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 with Computers categories.
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.
Offline Handwritten Word Recognition Using A Hybrid Neural Network And Hidden Markov Model
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Author :
language : en
Publisher:
Release Date : 2001
Offline Handwritten Word Recognition Using A Hybrid Neural Network And Hidden Markov Model written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Artificial intelligence categories.
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.
Knowledge Based Intelligent Techniques In Character Recognition
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Author : Lakhmi C. Jain
language : en
Publisher: CRC Press
Release Date : 2020-12-17
Knowledge Based Intelligent Techniques In Character Recognition written by Lakhmi C. Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-17 with Computers categories.
Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field. This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks. Features