Text in localization in natural scene images using multiple classifiers

Adam Kozłowski; Paweł Strumiłło

doi:10.1117/12.784775

28 December 2007 Text in localization in natural scene images using multiple classifiers

Adam Kozłowski, Paweł Strumiłło

Proceedings Volume 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007; 69372O (2007) https://doi.org/10.1117/12.784775
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 2007, Wilga, Poland

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.

Citation Download Citation

Adam Kozłowski and Paweł Strumiłło "Text in localization in natural scene images using multiple classifiers", Proc. SPIE 6937, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007, 69372O (28 December 2007); https://doi.org/10.1117/12.784775

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