Title :
Recognition of Arabic License Plates using NN
Author :
Zidouri, Abdelmalek ; Deriche, Mohammed
Author_Institution :
Electr. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran
Abstract :
License plate recognition (LPR) systems are a key to many traffic related applications such as road traffic monitoring or parking lots access control. We propose an automatic license plate recognition system for GCC license plates. The system presents an algorithm for the extraction of license plate and recognition of Arabic characters and numerals. Preliminary work on the system has been investigated on real images of vehicles captured under various illumination conditions. Real time LPR plays a major role in automatic monitoring of traffic rules and maintaining law enforcement on public roads. The automatic identification of vehicles by the contents of their license plates is important in private transport applications.
Keywords :
character recognition; feature extraction; image segmentation; natural languages; neural nets; object recognition; road traffic; road vehicles; traffic engineering computing; GCC license plate extraction; automatic Arabic license plate recognition system; automatic traffic rule monitoring; automatic vehicle identification; illumination condition; image segmentation; neural network; parking lots access control; private transport application; public road law enforcement; Access control; Character recognition; Computerized monitoring; Image recognition; Law enforcement; Licenses; Lighting; Neural networks; Roads; Vehicles;
Conference_Titel :
Image Processing Theory, Tools and Applications, 2008. IPTA 2008. First Workshops on
Conference_Location :
Sousse
Print_ISBN :
978-1-4244-3321-6
Electronic_ISBN :
978-1-4244-3322-3
DOI :
10.1109/IPTA.2008.4743757
