Multi-Level Genetic Algorithm for Recognizing Multiple License Plates in a Single Image

Title: Multi-Level Genetic Algorithm for Recognizing Multiple License Plates in a Single Image
Publisher: Guru Nanak Publications
ISSN: 2278-0947
Series: Volume 4 Issue 2
Authors: C. Anantha reddy and Dr. C. Shoba Bindu


Abstract

Due to growth of technology and usage of vehicles the traffic monitoring system has now become an essential administrative part in most of the developed and developing countries. So, Automatic License Plate Recognition (ALPR) System plays an important role in various real time applications like toll payment, electronic payment systems and parking fee payment, border crossing control systems, identification of stolen vehicles etc. This is possible, only because License Plate Numbers uniquely identifies a vehicle. This ALPR follows two steps localization of license plate and identifying characters. This paper proposes the implement of the genetic algorithm in multiple levels for localizing more than one license plate in the single image. Thus any number of license plates in a single image can be localized. By using Multi-level genetic procedure the localization of the symbols on a two dimensional compound objects can be done with high accuracy rates compared to the existing one. The extensive experiments conducted depicted the higher accuracy with lesser computation times.

Keywords

Automatic License Plate Recognition, Character Recognition, Genetic Algorithms, Localization.

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