Synopsis
A good text recognizer has many commercial and practical applications, e.g. from searching data in scanned book to automation of any organization, like post office, which involve manual task of interpreting text. The problem of text recognition has been attempted by many different approaches. In Feature extraction approach, statistical distribution of points is analyzed and orthogonal properties extracted. For each symbol a feature vector is calculated and stored in database. And recognition is done by finding distance of feature vector of input image to that of stored in the database, and outputting the symbol with minimum deviation. Though this technique gives lot better results on handwritten characters, but is very sensitive to noise and edge thickness. Template matching is one of the simplest approaches. In this many templates of each word are maintained for a input image, error or difference with each template is computed. The symbol corresponding to minimum error is output.
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About the Author
Miss. Poonam Shashikant Shetake completed M.E.(Electronics) from Shivaji University Kolhapur(MH) India. She is currently working as an academic dean and head of general science and humanities department at D.K.T.E's Yashawantrao Chavan Polytechnic, Ichalkaranji. She is having over 6 years of teaching experience.
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Devnagari Text To Speech Conversion
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LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6137336255
ISBN 13: 9786137336250
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A good text recognizer has many commercial and practical applications, e.g. from searching data in scanned book to automation of any organization, like post office, which involve manual task of interpreting text. The problem of text recognition has been attempted by many different approaches. In Feature extraction approach, statistical distribution of points is analyzed and orthogonal properties extracted. For each symbol a feature vector is calculated and stored in database. And recognition is done by finding distance of feature vector of input image to that of stored in the database, and outputting the symbol with minimum deviation. Though this technique gives lot better results on handwritten characters, but is very sensitive to noise and edge thickness. Template matching is one of the simplest approaches. In this many templates of each word are maintained for a input image, error or difference with each template is computed. The symbol corresponding to minimum error is output. 76 pp. Englisch. Seller Inventory # 9786137336250
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Devnagari Text To Speech Conversion
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Devnagari Text To Speech Conversion
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shetake Poonam ShashikantMiss. Poonam Shashikant Shetake completed M.E.(Electronics) from Shivaji University Kolhapur(MH) India. She is currently working as an academic dean and head of general science and humanities department at D. Seller Inventory # 385844977
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Devnagari Text To Speech Conversion
Published by
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6137336255
ISBN 13: 9786137336250
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -A good text recognizer has many commercial and practical applications, e.g. from searching data in scanned book to automation of any organization, like post office, which involve manual task of interpreting text. The problem of text recognition has been attempted by many different approaches. In Feature extraction approach, statistical distribution of points is analyzed and orthogonal properties extracted. For each symbol a feature vector is calculated and stored in database. And recognition is done by finding distance of feature vector of input image to that of stored in the database, and outputting the symbol with minimum deviation. Though this technique gives lot better results on handwritten characters, but is very sensitive to noise and edge thickness. Template matching is one of the simplest approaches. In this many templates of each word are maintained for a input image, error or difference with each template is computed. The symbol corresponding to minimum error is output.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Seller Inventory # 9786137336250
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Devnagari Text To Speech Conversion
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6137336255
ISBN 13: 9786137336250
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A good text recognizer has many commercial and practical applications, e.g. from searching data in scanned book to automation of any organization, like post office, which involve manual task of interpreting text. The problem of text recognition has been attempted by many different approaches. In Feature extraction approach, statistical distribution of points is analyzed and orthogonal properties extracted. For each symbol a feature vector is calculated and stored in database. And recognition is done by finding distance of feature vector of input image to that of stored in the database, and outputting the symbol with minimum deviation. Though this technique gives lot better results on handwritten characters, but is very sensitive to noise and edge thickness. Template matching is one of the simplest approaches. In this many templates of each word are maintained for a input image, error or difference with each template is computed. The symbol corresponding to minimum error is output. Seller Inventory # 9786137336250