An improved vision-based surveillance system for Malaysia license plate detection

This paper introduces an improved vision-based surveillance system for Malaysian license plate detection. The system is based on the framework designed to detect a vehicle, extract the license plate area and segment its characters. The idea here is to build a real-time system that can achieve good performances in term of efficiency and processing time in extracting and segmenting Malaysian license plate. Through that challenge, morphological image processing techniques are used to extract the license plate and segment its characters. The result of the system in processing time will be compared with other license plate detection techniques in other countries