Multiple License Plate Detection Algorithm


Author (s):

  1. Dr. Heena Kher, A.D. Patel Institute of Technology, Vallabh Vidyanagar, Gujarat, India, heena.adit@gmail.com
  2. Maitree Bhavsar, A.D. Patel Institute of Technology, Vallabh Vidyanagar, Gujarat, India, maitree512@gmail.com

Abstract:

Automatic License Plate Recognition (ALPR) is an important research issue in Intelligent Transportation System (ITS). ALP equipped in many intelligent surveillance systems, road traffic management system, security management system. ALPR mainly divided in three steps: License plate localization, Character segmentation and Character recognition. License plate localization is an important phase in ALPR system and number of techniques has been proposed for that. These techniques work well under different conditions, such as non-uniform illumination, complex background, motion blurred image, inclined license plate, etc. This paper presents an algorithm for multiple license plate detection based on Edge Density Concept. This algorithm consists of three main stages: preprocessing of image, find edge density and verify the license plate region. In the experiment of license plate detection, many images have been taken from different conditions were employed.

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