Automatic Persian License Plate Recognition by Edge Detection Using Hopfield Neural Network

Subject Areas : Renewable energy

Homayoun Mahdavi-Nasab ¹ , Mohammad Sadegh Memarzadeh ² , Peyman Moallem ³

1 - MSc/Islamic Azad University - Najafabad Branch
2 - Islamic Azad University - Najafabad Branch
3 - Assistant Professor/Isfahan University

Received: 2009-12-30 Accepted : 2011-02-21 Published : 2011-02-01

Keywords: Edge detection, Hopfield Neural Network, License plate recognition, morphological operations,

Abstract :

License plate is the most suitable information for automobile identification. Auto license plate recognition system is an automatic process which extracts the plate number using photographs of the auto. The method presented in this paper consists of two stages. First, the plate is located by edge detection and morphological techniques. Second, the characters are identified using Hopfield neural network. The proposed method has been tested on 700 photos with different backgrounds, distances and angles. The correct plate location and identification are evaluated 97.8% and 93% respectively.