An automatic system for vehicle and traffic control is essential for concessive increasing car usage. There are numerous numbers of application systems for a car number plate recognition system. But to recognize the car, it needs to consider other kinds of attributes such as car color and logo to avoid the fake license. This system tends to segment the car logo or trademark and then the segmented logo is classified. It implemented using the frontal image of Vehicles and it will be tested the car which is used in Myanmar. The metallic part is segmented from the front view of Vehicle by using region growing method in the reduction of searching space. The bounding box is defined according to the segmented metallic part. After that the logo localization via bounding box, it is segmented using morphological operators such as opening, closing, dilation, and erosion. The segmented logo is recognized by using the Template Matching Method using correlation coefficients.