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The Algorithm for Cars License Plates Segmentation

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8638))

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Abstract

We have conducted the needs assessment that highlights the current issues requiring novel solutions in the design of the modern system of automotive license plates recognition. We propose an algorithm of segmentation the license plates on a complex background, invariant to their size, contrast and angle positioning on the image.

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References

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Author information

Authors and Affiliations

  1. Saint-Petersburg State Polytechnical University, Saint-Petersburg, Russia

    Alexandr A. Kryachko

  2. Saint-Petersburg State University of Aerospace Instrumentation, Saint-Petersburg, Russia

    Boris S. Timofeev & Alexandr A. Motyko

Authors
  1. Alexandr A. Kryachko
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  2. Boris S. Timofeev
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  3. Alexandr A. Motyko
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Editor information

Editors and Affiliations

  1. FRUCT Oy, Kissankellontie 20B,, 00930, Helsinki, Finland

    Sergey Balandin

  2. Department of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 1, 33720, Tampere, Finland

    Sergey Andreev  & Yevgeni Koucheryavy  & 

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© 2014 Springer International Publishing Switzerland

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Kryachko, A.A., Timofeev, B.S., Motyko, A.A. (2014). The Algorithm for Cars License Plates Segmentation. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_53

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  • DOI: https://doi.org/10.1007/978-3-319-10353-2_53

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10352-5

  • Online ISBN: 978-3-319-10353-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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