Automatic detection, extraction and recognition of vehicle number plate region in traffic control systems is one of the prominent application in Computer vision. The drastic increase in number of vehicles in the current generation greatly increases the complexity in tracking the vehicles through

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Abstract — AUTOVID is a parking access control system that recognizes the license plate from cars and opens the gate if the car is registered to parking area. The purpose of this project is to build an application that recognizes license plates from cars at a gate. The system, based on regular PC with camera, catches video frames which include a visible car license plate and processes them. Once a license plate is detected, its digits are recognized and checked against a database. The focus is on the design of algorithms used for extracting the license plate from a single image, isolating the optical characters of the plate and identifying the individual characters.

Abstract—Automatic Vehicle Identification (AVI) has many applications in traffic systems (highway electronic toll collection, red light violation enforcement, border and customs checkpoints, etc.). License Plate Recognition is an effective form of AVI systems. In this study, a smart and simple

National Automated Highway Systems Consortium (NAHSC) was formed. In Europe the first prototypes of fully automatic vehicles were developed within the framework of PROMETHEUS. The Dutch Ministry of Transport, Public Works, and Water Management has identified AVG as one technology for which research

Abstract — This paper proposes novel control architecture for automatic vehicle driving in a dynamic and uncertain traffic environment.In the present scenario accidents are increasing rapidly. We need to make such a system which can continuously detect obstacle around the vehicle and avoid them

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We propose a new approach for vision based longitudinal and lateral vehicle control. The novel feature of this approach is the use of binocular vision. We integrate two modules consisting of a new, domain-specific, efficient binocular stereo algorithm, and a lane marker detection algorithm

In this paper a survey is being carried out in the field of Automatic license plate localization. Automatic license plate recognition (ALPR) is to extract vehicle license plate information from an image or a sequence of images. The extracted information can be used with or without a database

Abstract: This paper presents a new approach for development of an Automatic Vehicle Identification System (A VIS). The proposed system can be divided into three major modules; they are vehicle image preprocessing, license plate feature extraction and classification algorithm based on Hidden