camera document processing mobile de mollah ayatullah (6 resultados)

Taschenbuch. Condición: Neu. Camera Document Processing for Mobile Devices | Ayatullah Faruk Mollah (u. a.) | Taschenbuch | 204 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659761997 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

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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.

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.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch.

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.