AUTOMATIC VEHICLE LICENSE PLATE RECOGNITION SYSTEM AND ALCOHOL DETECTION

Computer Science & Engineering

Vehicle license plate location in a moving vehicle is an important phase in vehicle license plate recognition for intelligent transport systems. This paper presents a robust and real time method of license plate location. License plate recognition has been widely studied,and the advantage of image capture technology helps to enhance or create new methods to achieve this objective. Due to the rapid growth of highways and the extensive use of vehicles, researchers launch more interest on proficient and accurate intelligent transportation systems. In such circumstances, it is difficult for identification of the vehicle number plate. The above mentioned challenge is highlighted in Automatic Number Plate Recognition of vehicle. For this, the concept of Optical Character Recognition is used. This work presents a strong technique for localization, segmentation and recognition of the characters within the located plate.In this work,a method for real time detection and segmentation of car license plate based on image analyzing processing techniques is presented.Here the optical character recognition algorithm (OCR) is used to recognize the individual character with the help of database stored for each and every alphanumeric character. After recognizing the license plate, the respective vehicle owner’s details will be retrieved from the database. And these details can be used for checking whether the vehicle is licensed or registered. Here we also add the concept of alcohol detection and seat belt detection of the driver. By the concept of alcohol detection we can detect whether the driver has drunk or not. And by the concept of seat belt detection we can detect whether the driver of the vehicle has worn the seat belt or not.. If the driver has drunk or if he has not worn seat belt , then automatically notification will be send to the nearby toll service or police station.This proposed approach works well for low contrast, blurred and noisy images as well as dark and light/bright images useful for effective detection of characters in the license plate.

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