Handwritten recognition is not a new technology, but it has not gained public attention until recently. It has been observed thatall sorts of structural, topological and statistical information about the characters does not lend a helping hand in the recognition process due to different writing styles and moods of persons at the time of writing. For more than 30 years, researchers have been working on handwritten recognition. Over the few past years, the numbers of companies involved in research on handwritten recognition are increasing continually. The ultimate goal of designing a handwritten recognition system with an accuracy rate of 100% is quit illusionary, because even human beings are not able to recognize every handwritten character without any confusion. It can be seen that most of the people cannot even read their own notes.The objective of this book is to study existing feature extraction methods viz. Fourier descriptors and ring features and their capability to recognize handwritten isolated numerals with the minimum distance classifier . The 500 handwritten numerals are from zero to nine and in Marathi script and they are collected from 50 multiple writers.
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Handwritten recognition is not a new technology, but it has not gained public attention until recently. It has been observed thatall sorts of structural, topological and statistical information about the characters does not lend a helping hand in the recognition process due to different writing styles and moods of persons at the time of writing. For more than 30 years, researchers have been working on handwritten recognition. Over the few past years, the numbers of companies involved in research on handwritten recognition are increasing continually. The ultimate goal of designing a handwritten recognition system with an accuracy rate of 100% is quit illusionary, because even human beings are not able to recognize every handwritten character without any confusion. It can be seen that most of the people cannot even read their own notes.The objective of this book is to study existing feature extraction methods viz. Fourier descriptors and ring features and their capability to recognize handwritten isolated numerals with the minimum distance classifier . The 500 handwritten numerals are from zero to nine and in Marathi script and they are collected from 50 multiple writers.
Mr. V. R. Patil and Mr. R. D. Badgujar are Working as Asst. Prof. in E&TC Dept of RCPIT shirpur. They have more than 11 years teaching experience. Ms. M. S. Patil Working as Asst. Prof. in Comp Dept of SSVPS Dhule. She has more than 10 years teaching experience.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Handwritten recognition is not a new technology, but it has not gained public attention until recently. It has been observed thatall sorts of structural, topological and statistical information about the characters does not lend a helping hand in the recognition process due to different writing styles and moods of persons at the time of writing. For more than 30 years, researchers have been working on handwritten recognition. Over the few past years, the numbers of companies involved in research on handwritten recognition are increasing continually. The ultimate goal of designing a handwritten recognition system with an accuracy rate of 100% is quit illusionary, because even human beings are not able to recognize every handwritten character without any confusion. It can be seen that most of the people cannot even read their own notes.The objective of this book is to study existing feature extraction methods viz. Fourier descriptors and ring features and their capability to recognize handwritten isolated numerals with the minimum distance classifier . The 500 handwritten numerals are from zero to nine and in Marathi script and they are collected from 50 multiple writers. 72 pp. Englisch. Bestandsnummer des Verkäufers 9783659889707
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Paperback. Zustand: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock. Bestandsnummer des Verkäufers 3659889709
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil VinodMr. V. R. Patil and Mr. R. D. Badgujar are Working as Asst. Prof. in E&TC Dept of RCPIT shirpur. They have more than 11 years teaching experience. Ms. M. S. Patil Working as Asst. Prof. in Comp Dept of SSVPS Dhule. She. Bestandsnummer des Verkäufers 158248664
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Taschenbuch. Zustand: Neu. Neuware -Handwritten recognition is not a new technology, but it has not gained public attention until recently. It has been observed thatall sorts of structural, topological and statistical information about the characters does not lend a helping hand in the recognition process due to different writing styles and moods of persons at the time of writing. For more than 30 years, researchers have been working on handwritten recognition. Over the few past years, the numbers of companies involved in research on handwritten recognition are increasing continually. The ultimate goal of designing a handwritten recognition system with an accuracy rate of 100% is quit illusionary, because even human beings are not able to recognize every handwritten character without any confusion. It can be seen that most of the people cannot even read their own notes.The objective of this book is to study existing feature extraction methods viz. Fourier descriptors and ring features and their capability to recognize handwritten isolated numerals with the minimum distance classifier . The 500 handwritten numerals are from zero to nine and in Marathi script and they are collected from 50 multiple writers.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Bestandsnummer des Verkäufers 9783659889707
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Handwritten recognition is not a new technology, but it has not gained public attention until recently. It has been observed thatall sorts of structural, topological and statistical information about the characters does not lend a helping hand in the recognition process due to different writing styles and moods of persons at the time of writing. For more than 30 years, researchers have been working on handwritten recognition. Over the few past years, the numbers of companies involved in research on handwritten recognition are increasing continually. The ultimate goal of designing a handwritten recognition system with an accuracy rate of 100% is quit illusionary, because even human beings are not able to recognize every handwritten character without any confusion. It can be seen that most of the people cannot even read their own notes.The objective of this book is to study existing feature extraction methods viz. Fourier descriptors and ring features and their capability to recognize handwritten isolated numerals with the minimum distance classifier . The 500 handwritten numerals are from zero to nine and in Marathi script and they are collected from 50 multiple writers. Bestandsnummer des Verkäufers 9783659889707
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Taschenbuch. Zustand: Neu. Feature Based Isolated Marathi Handwritten Numeral Recognition | Vinod Patil (u. a.) | Taschenbuch | 72 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659889707 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 103736685
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