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Automatic Vehicle License Plate Recognition using Artificial Neural Networks

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Intelligent Systems Design and Applications

Part of the book series: Advances in Soft Computing ((AINSC,volume 23))

Abstract

In this study, we present an artificial neural network based computer vision system which can analyze the image of a car taken by a camera in real-time, locates its license plate and recognizes the registration number of the car. The model has four stages. In the first stage, vehicle license plate (VLP) is located. Second stage performs the segmentation of VLP and produces a sequence of characters. An ANN runs in the third stage of the process and tries to recognize these characters which form the VLP.

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© 2003 Springer-Verlag Berlin Heidelberg

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Oz, C., Ercal, F. (2003). Automatic Vehicle License Plate Recognition using Artificial Neural Networks. In: Abraham, A., Franke, K., Köppen, M. (eds) Intelligent Systems Design and Applications. Advances in Soft Computing, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44999-7_3

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  • DOI: https://doi.org/10.1007/978-3-540-44999-7_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40426-2

  • Online ISBN: 978-3-540-44999-7

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