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International Conference on Information Technology & Systems

ICITS 2018: Proceedings of the International Conference on Information Technology & Systems (ICITS 2018) pp 170–177Cite as

Analysis of Correspondences Applied to Vehicle Plates Using Descriptors in Visible Spectrum

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 721))

Abstract

Recognition of regions is consolidated as a branch of the computer vision that so far no limitation, new developments are being developed every day methods that allow more or less precision; distinguish points, areas and elements of interest both in photographs as well as video. There are currently several comparative studies which focus on analysis of descriptors on images without regions, so the proposal of this study intended to show a comparative analysis of the methods and algorithms that are more robust with respect to descriptors focused on the detection of license plates, in the end we obtain values of robustness that they compare with studies of correspondence previous ones.

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Author information

Authors and Affiliations

  1. Escuela Superior Politécnica del Litoral, Vía Perimetral 5, Guayaquil, Ecuador

    Shendry Rosero & Alberto Jimenez

Authors
  1. Shendry Rosero
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  2. Alberto Jimenez
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Corresponding author

Correspondence to Shendry Rosero .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Systems Department, Universidad Estatal Península de Santa Elena, La Libertad, Ecuador

    Teresa Guarda

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Rosero, S., Jimenez, A. (2018). Analysis of Correspondences Applied to Vehicle Plates Using Descriptors in Visible Spectrum. In: Rocha, Á., Guarda, T. (eds) Proceedings of the International Conference on Information Technology & Systems (ICITS 2018). ICITS 2018. Advances in Intelligent Systems and Computing, vol 721. Springer, Cham. https://doi.org/10.1007/978-3-319-73450-7_17

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  • DOI: https://doi.org/10.1007/978-3-319-73450-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73449-1

  • Online ISBN: 978-3-319-73450-7

  • eBook Packages: EngineeringEngineering (R0)

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