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|Title:||Leveraging surrounding context for scene text detection|
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|
|Series/Report no.:||IEEE International Conference on Image Processing ICIP|
|Conference Name:||International Conference on Image Processing (20th : 2013 : Melbourne, Australia)|
|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|
|Appears in Collections:||Aurora harvest|
Computer Science publications
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