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Proceedings Paper

Text in localization in natural scene images using multiple classifiers
Author(s): Adam Kozłowski; Paweł Strumiłło
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Paper Abstract

Localization of text areas in images of natural scenes is essential for many applications, including support for the blind, tourist support, traffic control and content-sensitive image or video databases. Algorithms for localization of scene text must overcome issues of non-uniform scene lighting, scene text variations and distortions etc. In the paper we present the results obtained for scene text detection algorithms operating on various image representation domains, as well as our work on an algorithm based on an ensemble of simple classifiers.

Paper Details

Date Published: 28 December 2007
PDF: 7 pages
Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 69372O (28 December 2007); doi: 10.1117/12.784775
Show Author Affiliations
Adam Kozłowski, Technical Univ. of Łódź (Poland)
Paweł Strumiłło, Technical Univ. of Łódź (Poland)


Published in SPIE Proceedings Vol. 6937:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

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