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Automatic Text Localization in Natural Scene Images

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Image Processing and Communications Challenges 3

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 102))

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Summary

In this paper we present an approach to automatic localization of text in natural scene images. Text which is embedded in a natural scene, e.g. in the street, shop or a bus stop, is not available to visually impaired persons, therefore it is necessary to design systems for automatic localization and recognition of such text in a image of such a scene. We propose an approach that utilizes a novel corner measure and is based on the assumption that areas of image containing text exhibit a large density of edges forming corners. We show that the proposed method combines computational simplicity and very good precision and recall on a well-known reference image database.

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Author information

Authors and Affiliations

  1. Institute of Electronics, Technical University of Lodz, Poland

    Adam Kozłowski & Paweł Strumiłło

Authors
  1. Adam Kozłowski
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  2. Paweł Strumiłło
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Editor information

Editors and Affiliations

  1. Institute of Telecommunications, University of Technology & Life Sciences, ul.S.Kaliskiego 7, 85-791, Bydgoszcz, Poland

    Ryszard S. Choraś

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Kozłowski, A., Strumiłło, P. (2011). Automatic Text Localization in Natural Scene Images. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_12

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  • DOI: https://doi.org/10.1007/978-3-642-23154-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23153-7

  • Online ISBN: 978-3-642-23154-4

  • eBook Packages: EngineeringEngineering (R0)

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