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Reseña del editor
Camera captured text embedded image processing on handheld mobile devices is an emerging research area. The present work deals with the associated problems of this domain. In this context, images are acquired with built-in digital cameras of various handheld devices such as cell-phones, iPhones, iPods, smart phones, PDAs, etc. As a result, acquired images are often geometrically distorted, unevenly illuminated and blurred. Moreover, acquired images are often heterogeneous and complex in nature, and image information is lost due to image compression while saving the image. This work attempts to develop computationally efficient and light-weight yet effective algorithms for text localization, handling geometric distortions, reverse text correction, binarization, segmentation, character recognition, and indexing as well as retrieval. Along with the algorithms, benchmark camera captured image databases are also prepared. Although, the specific applications targeted are an automatic business card reader and a general text image recognizer followed by indexing and retrieval, the developed techniques may be implemented to serve any applicable purpose.
Biografía del autor
Dr. Ayatullah F. Mollah received his B.E. degree in Computer Science andEngineering from Jadavpur University (JU), India in 2006. He received Ph.D.(Engg.) degree from JU in 2013. Thereafter, he joined Aliah University as an Assistant Professor. His research interests include image processing and pattern recognition on low computing platforms.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2015
- ISBN 10 3659761990
- ISBN 13 9783659761997
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas204
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Camera Document Processing for Mobile Devices
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LAP LAMBERT Academic Publishing Dez 2015, 2015
ISBN 10: 3659761990
ISBN 13: 9783659761997
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Camera captured text embedded image processing on handheld mobile devices is an emerging research area. The present work deals with the associated problems of this domain. In this context, images are acquired with built-in digital cameras of various handheld devices such as cell-phones, iPhones, iPods, smart phones, PDAs, etc. As a result, acquired images are often geometrically distorted, unevenly illuminated and blurred. Moreover, acquired images are often heterogeneous and complex in nature, and image information is lost due to image compression while saving the image. This work attempts to develop computationally efficient and light-weight yet effective algorithms for text localization, handling geometric distortions, reverse text correction, binarization, segmentation, character recognition, and indexing as well as retrieval. Along with the algorithms, benchmark camera captured image databases are also prepared. Although, the specific applications targeted are an automatic business card reader and a general text image recognizer followed by indexing and retrieval, the developed techniques may be implemented to serve any applicable purpose. 204 pp. Englisch. Nº de ref. del artículo: 9783659761997
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Camera Document Processing for Mobile Devices
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659761990
ISBN 13: 9783659761997
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Camera captured text embedded image processing on handheld mobile devices is an emerging research area. The present work deals with the associated problems of this domain. In this context, images are acquired with built-in digital cameras of various handheld devices such as cell-phones, iPhones, iPods, smart phones, PDAs, etc. As a result, acquired images are often geometrically distorted, unevenly illuminated and blurred. Moreover, acquired images are often heterogeneous and complex in nature, and image information is lost due to image compression while saving the image. This work attempts to develop computationally efficient and light-weight yet effective algorithms for text localization, handling geometric distortions, reverse text correction, binarization, segmentation, character recognition, and indexing as well as retrieval. Along with the algorithms, benchmark camera captured image databases are also prepared. Although, the specific applications targeted are an automatic business card reader and a general text image recognizer followed by indexing and retrieval, the developed techniques may be implemented to serve any applicable purpose. Nº de ref. del artículo: 9783659761997
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Camera Document Processing for Mobile Devices
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659761990
ISBN 13: 9783659761997
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mollah Ayatullah FarukDr. Ayatullah F. Mollah received his B.E. degree in Computer Science andEngineering from Jadavpur University (JU), India in 2006. He received Ph.D.(Engg.) degree from JU in 2013. Thereafter, he joined Aliah Univ. Nº de ref. del artículo: 158605181
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Camera Document Processing for Mobile Devices
Publicado por
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659761990
ISBN 13: 9783659761997
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paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA82336597619906
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