In India, basically there are two kinds of license I. PROPOSED SYSTEM Fig.2. Captured Image (Original image) The given image of the vehicle is captured by camera which is high resolution quality. We save this image in the system. Pre-processing is the technique in which background illumination conditions and the number plate localization algorithms is used. In this phase mainly focuses on reduce background noise, enhancing of contrast. The system preprocessing uses two processes: Resize — In this section we have to change the size of object according to requirement. Convert Color Space — Images captured by cameras will be either in raw format or encoded into some multimedia standards. These images will be in RGB mode basically i.e. red, green and blue. There should be using OpenCV function in pre-processing phase. Contours can be explained simply as a curve joining all the continuous points (along the boundary), having same color or intensity. The contours are a useful tool for shape analysis and object detection and recognition. Here we use contours in rectangle shape. Fig. 4. Contour Image boundary), having same color or intensity. The Here we also make training sets of different sizes i.e, 6*8, 8*13, 10*15 and so on. According to input of that training set output is also define to make system predictable and intelligent.
