AUTOMATIC IRAQI CARS NUMBER PLATES EXTRACTION

• Main Authors: Safaa Omran, Jumana Jarallah
• Format: Article
• Language: Arabic
• Published: University of Information Technology and Communications 2018-06-01
• Series: Iraqi Journal for Computers and Informatics
• Subjects: license plate recognition, license plate localization (lpl), morphological operations, sobel edge detection
• Online Access: http://ijci.uoitc.edu.iq/index.php/ijci/article/view/111

License Plate Recognition (LPR) system becomes an important research issue in recent years due to its importance to wide ranges of commercial applications. The first and the most important stage for any LPR system is the localization of the number plate within the vehicle image. This paper presents a methodology for Iraqi cars number plates extraction from the vehicle image using two methods, the first one is morphological operations and the second method is edge detection. The main idea is to use these two different methods in such away so that the number plate of the vehicle can be extracted precisely. These algorithms can quickly and correctly detect and extract the number plate from the vehicle image although there was a little noise in the image. This paper also makes a comparison between the two methods of extraction in results. The software that used to build the systems is MATLAB R2014a