Detection and identification of illegally parked vehicles at no parking area

Recent advances in the technologies into all aspects ofmodern life caused demand for advanced security and monitoring systems. Video surveillance system is used for home security, border security, ATM security, effective traffic monitoring, toll collection, etc. Due to cost reduction, now it is possible to use high-quality video systems in practical. Automated systems are designed for numerous applications for monitoring and security, but the task of detecting illegally parked vehicle at no parking area has been left largely to the human. This paper proposes simple image processing approach for detection and identification of illegally parked vehicles at no parking area. This study proposes integration of image processing algorithms for detection, extraction, localization, segmentation and recognition of vehicle number plates from acquired image at no parking area. This system provides near real-time data of illegally parked vehicles to the concerned authority through the message. This is helpful to authority to take action against the owners of vehicles andmaking space vacate soon.