Automatic License Plate Recognition Using Optical Character Recognition Based on Image Processing

A License plate is a rectangular plate which is alphanumeric. The license plate is fixed on the vehicle and used to identify the vehicle along with honor of that vehicle. There is a huge number of vehicles on the road so that traffic control and vehicle owner identification has become a major problem. The automatic number plate reorganization (ANPR) is one of the solutions of such kind of problem. There are different methodologies but it is challenging task as some of the factors like high speed of vehicles, languages of number plate & mostly non-uniform letter on number plate effects a lot in recognition. The license plate recognition system mainly has four stages: image acquisition, license plate detection, character segmentation and character recognition. The license plate recognition (LPR) system have many applications like payment of parking fees; toll fee on the highway; traffic monitoring system; border security system; signal system etc. In this paper, template matching algorithm for character recognition is used. The system presented here mainly focuses on recognition of ambiguous characters based on position of the character. It is observed that the developed system successfully detects & recognizes the vehicle number plate on real images and the problem of recognizing ambiguous character is solved.