DocumentCode :
1637878
Title :
Robust Extraction of Text from Camera Images
Author :
Chowdhury, S.P. ; Dhar, S. ; Das, A.K. ; Chanda, B. ; McMenemy, K.
Author_Institution :
Intell. Syst. & Control, QUB, UK
fYear :
2009
Firstpage :
1280
Lastpage :
1284
Abstract :
Text within a camera grabbed image can contain a huge amount of meta data about that scene. Such meta data can be useful for identification, indexing and retrieval purposes.Detection of colored scene text is a new challenge for all camera based images.Common problems for text extraction from camera based images are the lack of prior knowledge of any kind of text features such as color, font, size and orientation.In this paper we propose a new algorithm for the extraction of text from an image which can overcome these problems. In addition, problems due to an unconstrained complex background in the scene has also been addressed.Here a new technique is applied to determine the discrete edges around the text boundaries. A novel methodology is also proposed to extract the text exploiting its appearance in terms of color and spatial distribution.
Keywords :
edge detection; image colour analysis; information retrieval; text analysis; video signal processing; camera image; colored scene text detection; robust text extraction; scene meta data; spatial distribution; video frame; Control systems; Image recognition; Indexing; Intelligent control; Intelligent systems; Layout; Optical character recognition software; Robustness; Smart cameras; Text recognition; Text extraction; camera image; discrete edge boundary; text localization; video frame;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
ISSN :
1520-5363
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2009.188
Filename :
5277689
Link To Document :
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