Camera Document Processing for Mobile Devices

Ayatullah Faruk Mollah

ISBN 10: 3659761990 / ISBN 13: 9783659761997

Published by LAP LAMBERT Academic Publishing Dez 2015, 2015

About this Item

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.

Seller Inventory # 9783659761997

Bibliographic Details

• Title: Camera Document Processing for Mobile Devices
• Publisher: LAP LAMBERT Academic Publishing Dez 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 3659761990
• ISBN 13: 9783659761997
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 322 grams

About this title

Synopsis

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.

About the Author

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.