A REVIEW PAPER ON RECOGNIZE AUTOMATIC NUMBER PLATE AND BLURRED NUMBER PLATES

This review paper provides a brief survey on various recognition techniques for automatic number plate recognition (ANPR) in image processing. ANPR is real –time embedded system which uses number plate to identify the vehicle. This expertise is in advance popularity in security and traffic installations. License plate recognition system is an application of computer vision. Computer vision is a method of using a computer to take out high level information from a digital image. The useless homogeny among different license plates such as its dimension and the outline of the license plate. LPR system consists of Image acquisition, License plate extraction, License plate segmentation, License plate recognition phases. Automatic number plate recognition systems are today used in various traffic and security applications, such as parking, access and border control, or tracking of stolen cars. Till now, all the LPR systems have been developed using neural networks. This work proposes to implement the system using Gabor filter, OCR and Vision Assistant to make the system faster and more efficient. There are different techniques for recognize the ANPR using object character recognition, neural network and boundary detection algorithm etc