Automatic Localization System of Libyan License Plates

Video based traffic surveillance using License Plate Recognition (LPR) system is an essential part for any intelligent traffic management system. There is a growing trend of literature that recognizes the importance of LPR system. Generally, LPR system is a challenging area of research due to its importance to a wide range of commercial applications such as collision warning systems, finding stolen cars, and automatic congestion charge systems. The first stage for any LPR system is the Localization stage. The accuracy of this stage affect the complete LPR system. This paper presents an automatic localization method of Libyan license plate based on morphological operations and zero crossing approach. The performance of the proposed localization method tested and studied with three video sequences.