Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Camera Document Processing for Mobile Devices
Details
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.
Autorentext
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.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Anzahl Seiten 204
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 322g
- Autor Ayatullah Faruk Mollah , Subhadip Basu , Mita Nasipuri
- Titel Camera Document Processing for Mobile Devices
- Veröffentlichung 02.12.2015
- ISBN 3659761990
- Format Kartonierter Einband
- EAN 9783659761997
- Jahr 2015
- Größe H220mm x B150mm x T13mm
- GTIN 09783659761997