Leveraging surrounding context for scene text detection

Publication Type:
Conference Proceeding
Citation:
2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, 2013, pp. 2264 - 2268
Issue Date:
2013-12-01
Full metadata record
Files in This Item:
Filename Description Size
Leveraging.pdfPublished version1.3 MB
Adobe PDF
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. © 2013 IEEE.
Please use this identifier to cite or link to this item: