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This research work demonstrates surveillance of traffic on roads and streets which is used by private companies and public organizations and government institutions. The primary purpose is the well-organized management of the transport system and public safety on highways and in civil areas. This paper used the technique to well-structured localize the LP and segmentation of captured images is done by the ALPR system. We explained the localization of license plates by using the integrated segmentation method. ALPR system contains several well-observed skeletons like security administration, parking, vehicle identification, streets and road activity management, schedule of toll collecting framework, and so forth. There are various frameworks are present which are used for License plate capturing. The most important part of the ALPR framework is the accurate confinement of different number plates, recognition, and segmentation. By ALPR systems we can easily identify the number of vehicle plates. ANPR system also plays a crucial part in vehicle plate capturing and identification. This system helps in monitoring and tracking automobiles. In this paper, we have tried numerous techniques for traffic control and monitoring purposes which are works based on various techniques and methodologies. But ANPR primarily did their work for accuracy and template matching of vehicle number plates.