Extraction of vehicle number plates using mathematical morphological techniques

  • Authors:
  • Humayun Karim Sulehria;Ye Zhang

  • Affiliations:
  • School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, P.R. China;School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, P.R. China

  • Venue:
  • ICAI'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Automation and Information - Volume 8
  • Year:
  • 2007

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Abstract

This paper presents a method for extraction of the vehicle number plates from the image using hybrid mathematical morphology techniques. The gist is to use different morphological operations in such a way so that the number plate of the vehicle can be identified accurately. The method makes the extraction of the plate independent of color, size and location of number plate. The proposed approach can be divided into different processes, which are, image enhancement, morphing transformation, morphological gradient, combination of resultant images and extracting the number plate from the objects that are left in the image. This algorithm can quickly and correctly detect the number plate area from the vehicle image.