This paper proposes a vehicle license plate locating method based on the Adaboost algorithm and smallest univalue segment assimilating nucleus(SUSAN) corner validation. The Adaboost algorithm is applied for initial classification in order to select target license plate region and reduce the number of candidate areas. SUSAN corner validation is then used to calculate and sort probability of each area belonging to the vehicle
license. The area with the highest probability is taken as the detection result. Experimental results show that the proposed method is robust to different illumination conditions, and the preset parameters produce satisfactory results in different experiments.