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2006 IEEE International Conference on Multimedia and Expo
Multiscale Edge-Based Text Extraction from Complex Images
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Xiaoqing Liu, The University of Western Ontario, Department of Electrical&Computer Engineering, London, Ontario, N6A 5B9, Canada. xliu65@uwo.ca
Jagath Samarabandu, The University of Western Ontario, Department of Electrical&Computer Engineering, London, Ontario, N6A 5B9, Canada. jagath@uwo.ca
Text that appears in images contains important and useful information. Detection and extraction of text in images have been used in many applications. In this paper, we propose a multiscale edge-based text extraction algorithm, which can automatically detect and extract text in complex images. The proposed method is a general-purpose text detection and extraction algorithm, which can deal not only with printed document images but also with scene text. It is robust with respect to the font size, style, color, orientation, and alignment of text and can be used in a large variety of application fields, such as mobile robot navigation, vehicle license detection and recognition, object identification, document retrieving, page segmentation, etc.
Citation:
Xiaoqing Liu, Jagath Samarabandu, "Multiscale Edge-Based Text Extraction from Complex Images," icme, pp.1721-1724, 2006 IEEE International Conference on Multimedia and Expo, 2006
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