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Symbol Recognition in Natural Scenes by Shape Matching across Multi-scale Segmentations

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Graphics Recognition. New Trends and Challenges (GREC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7423))

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Abstract

Symbol recognition in natural scenes plays an important role in a variety of applications such as driver assistance and environment awareness. We propose a solution including 3 phases: (1) Image segmentation, (2) component-level shape matching, and (3) structure matching. To improve the robustness, we alter the parameters to obtain image segmentation at multiple scales and perform component-level template matching across the image segmentation results obtained at all scales. By means of such exhaustive search across all possible segmentations, the chance to obtain finely matched components is increased. Some initial experimental results are obtained, which are encouraging.

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Author information

Authors and Affiliations

  1. Computer College of Computer Science and Technology, Fudan University, China

    Ruimin Guan & Su Yang

  2. Department of Electronic Engineering, Fudan University, China

    Yuanyuan Wang

Authors
  1. Ruimin Guan
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  2. Su Yang
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  3. Yuanyuan Wang
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Chung-Ang University, 221 Heuksukdong, 156-756, Dongjakku, Seoul, Korea

    Young-Bin Kwon

  2. Laboratoire L3i, Université de La Rochelle, Avenue Michel Crépeau, 17042, La Rochelle Cedex 1, France

    Jean-Marc Ogier

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Guan, R., Yang, S., Wang, Y. (2013). Symbol Recognition in Natural Scenes by Shape Matching across Multi-scale Segmentations. In: Kwon, YB., Ogier, JM. (eds) Graphics Recognition. New Trends and Challenges. GREC 2011. Lecture Notes in Computer Science, vol 7423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36824-0_6

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  • DOI: https://doi.org/10.1007/978-3-642-36824-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36823-3

  • Online ISBN: 978-3-642-36824-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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