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Car License Plate Detection under Large Variations Using Covariance and HOG Descriptors

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Advances in Visual Computing (ISVC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7432))

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Abstract

This paper presents a novel method that can detect license plates which have large variations including perspective distortion, size variation, blurring. Spatial combinations of covariance descriptors in different positions are used with feed-forward network to extract plate-like region and HOG descriptor is used with LDA for validation. From this method, we could achieve high detection rate 94% while maintaining low FPPW(2.5− 6) in road view image.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Pohang University of Science and Technology (POSTECH), Korea

    Jongmin Yoon, Bongnam Kang & Daijin Kim

Authors
  1. Jongmin Yoon
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  2. Bongnam Kang
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  3. Daijin Kim
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science, University of California at Irvine, 92697-3435, Irvine, CA, USA

    Charless Fowlkes

  6. Eastman Kodak Company, 14650-2102, Rochester, NY, USA

    Sen Wang

  7. Department of Computer Science and Engineering, University of Colorado at Denver, 80217, Denver, CO, USA

    Min-Hyung Choi

  8. VRVis Zentrum für Virtual Reality and Visualisierung, 1220, Vienna, Austria

    Stephan Mantler

  9. California Institute for Telecommunications and Information Technology, University of California,,, San Diego, 92093, La Jolla, CA, USA

    Jürgen Schulze

  10. KAUST Visualizatioin Core Lab., 23955-6900, Thurwal, Saudi Arabia

    Daniel Acevedo

  11. Stony Brook University, 11794-4400, NY, USA

    Klaus Mueller

  12. Argonne National Laboratory, 60439, IL, USA

    Michael Papka

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Yoon, J., Kang, B., Kim, D. (2012). Car License Plate Detection under Large Variations Using Covariance and HOG Descriptors. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_63

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  • DOI: https://doi.org/10.1007/978-3-642-33191-6_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33190-9

  • Online ISBN: 978-3-642-33191-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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