Feature Extraction Approaches for Optical Character Recognition - Tapa dura

Yampolskiy, Roman

 
9780615155111: Feature Extraction Approaches for Optical Character Recognition
Tapa dura
ISBN 10: 0615155111 ISBN 13: 9780615155111
Editorial: Briviba Scientific Press, 2007

Sinopsis

Since the 1950’s character recognition has been an active field of research for computer scientists worldwide. The main reason is that character recognition is not only an interesting area of theoretical research with relevance to many pattern recognition sub-fields, but also a very needed and useful real life application. Making computers able to read would allow for substantial savings in terms of the costs for data entry, mail processing, form processing and many other similar situations. Every realistic character recognition system requires a feature extraction step in order to properly operate. This book is a large-scale review of the feature extraction approaches for character recognition based on literature review and experimental results. An original classification system is described, which groups feature extraction methods depending on their theoretical approach. The developed classification system aids in comparison and analysis of the feature extraction methods.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

Since the 1950's character recognition has been an active field of research for computer scientists worldwide. The main reason is that character recognition is not only an interesting area of theoretical research with relevance to many pattern recognition sub-fields, but also a very needed and useful real life application. Making computers able to read would allow for substantial savings in terms of the costs for data entry, mail processing, form processing and many other similar situations. Every realistic character recognition system requires a feature extraction step in order to properly operate. This book is a large-scale review of the feature extraction approaches for character recognition based on literature review and experimental results. An original classification system is described, which groups feature extraction methods depending on their theoretical approach. The developed classification system aids in comparison and analysis of the feature extraction methods.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Briviba Scientific Press
Año de publicación
2007
Idioma
Inglés
ISBN 10 
0615155111
ISBN 13 
9780615155111
Encuadernación
Tapa dura
Número de páginas
228
Contacto del fabricante
no disponible
Persona responsable
HACHETTE LIVRE SA
https://www.hachette.fr/

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