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Edge Detection Using CNN for the Localization of Non-standard License Plate

  • L. N. P. Boggavarapu
  • R. S. Vaddi
  • H. D. Vankayalapati
  • K. R. Anne
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

Automatic license plate localization is one of the crucial steps for any intelligent transportation system. The location of the license plate is not same for all types of vehicles and in some developing countries the size of the license plate also varies. The localization of such a license plate requires a series of complex image processing steps in which edge detection plays major role, as the edges give crucial information regarding the location. In order to localize the license plate in real time, the amount of data to be processed must be minimized at the stage where the edges are identified. In this work we proposed Cellular Neural Network based edge detection for real time computation of edges. The performance of the proposed method has been evaluated over the collected database of 100 images with license plates located at different location. Based on the experimental results, we noted that Cellular Neural Network based edge detection improves the performance in non standard license plate localization when compared with traditional edge detection approaches.

Keywords

Edge Detection Cellular Neural Network License Plate Edge Detection Algorithm Intelligent Transport System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • L. N. P. Boggavarapu
    • 1
  • R. S. Vaddi
    • 1
  • H. D. Vankayalapati
    • 2
  • K. R. Anne
    • 1
  1. 1.Department of Information TechnologyV R Siddhartha Engineering CollegeVijayawadaIndia
  2. 2.Department of Computer Science & EngineeringV R Siddhartha Engineering CollegeVijayawadaIndia

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