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Research of Vehicle License Plate Location Algorithm Based on Color Features and Plate Processions

  • Conference paper
Advances in Machine Learning and Cybernetics

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3930))

Abstract

Locating the region of a license plate is the key component of the vehicle plate recognition system. A novel method is adopted in this paper to replace the traditional method which is based on gray image. The method that sufficiently utilizes the color characteristics of the colored image is based on the color collocation of the plate’s background and characters combined with the plate’s structure and texture to locate the vehicle license plate. The plate’s region would then be emended and binarized. The location rate reaches 98% in experiments.

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© 2006 Springer-Verlag Berlin Heidelberg

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Yang, YQ., Bai, J., Tian, RL., Liu, N. (2006). Research of Vehicle License Plate Location Algorithm Based on Color Features and Plate Processions. In: Yeung, D.S., Liu, ZQ., Wang, XZ., Yan, H. (eds) Advances in Machine Learning and Cybernetics. Lecture Notes in Computer Science(), vol 3930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11739685_113

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  • DOI: https://doi.org/10.1007/11739685_113

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33584-9

  • Online ISBN: 978-3-540-33585-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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