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CNN-Applications in Toll Driving

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Abstract

This paper describes a system for the automatic identification of vehicles by the contents of its license plate. The system has been developed over the last five years and is one of the four candidate systems for automatic toll collection in the Netherlands. Due to the extreme time and performance requirements placed on the system, advanced techniques like DT–CNNs and classifier combining are used. The first tests on the road show that the system correctly recognizes 85.4% of the passing vehicles, while marking the remaining 14.6% as unrecognizable.

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Authors and Affiliations

  1. Department of Mathematics and Computing Science, Rijksuniversiteit Groningen, P.O. Box 800, 9700 AV, Groningen, The Netherlands

    M.H. Ter Brugge, J.A.G. Nijhuis, L. Spaanenburg & J.H. Stevens

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  1. M.H. Ter Brugge
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  2. J.A.G. Nijhuis
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  3. L. Spaanenburg
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  4. J.H. Stevens
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Ter Brugge, M., Nijhuis, J., Spaanenburg, L. et al. CNN-Applications in Toll Driving. The Journal of VLSI Signal Processing-Systems for Signal, Image, and Video Technology 23, 465–477 (1999). https://doi.org/10.1023/A:1008165623166

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