Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/83151
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Type: Conference paper
Title: Leveraging surrounding context for scene text detection
Author: Li, Y.
Shen, C.
Jia, W.
Van Den Hengel, A.
Citation: 2013 IEEE International Conference on Image Processing, ICIP 2013 Proceedings, Melbourne, Vic., Australia, 15-18 September 2013: pp.2264-2268
Publisher: IEEE
Publisher Place: USA
Issue Date: 2013
Series/Report no.: IEEE International Conference on Image Processing ICIP
ISBN: 9781479923410
ISSN: 1522-4880
Conference Name: International Conference on Image Processing (20th : 2013 : Melbourne, Australia)
Statement of
Responsibility: 
Yao Li, Chunhua Shen, Wenjing Jia, Anton van den Hengel
Abstract: Finding text in natural images has been a challenging task in vision. At the core of state-of-the-art scene text detection algorithms are a set of text-specific features within extracted regions. In this paper, we attempt to solve this problem from a different prospective. We show that characters and non-character interferences are separable by leveraging the surrounding context. Surrounding context, in our work, is composed of two components which are computed in an information-theoretic fashion. Minimization of an energy cost function yields a binary label for each region, which indicates the category it belongs to. The proposed algorithm is fast, discriminative and tolerant to character variations and involves minimal parameter tuning.
Keywords: Surrounding context, energy minimization, scene text detection
Rights: © 2013 IEEE
RMID: 0020137321
DOI: 10.1109/ICIP.2013.6738467
Appears in Collections:Computer Science publications

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