Division of Electronics and Information Engineering, Research Center of Industrial Technology, Chonbuk National University, Jeonju City, Jeonbuk Prov. 651–756, Korea. E-mail: hlee@chonbuk.ac.kr
Although the recognition of a license plate number or vehicle type has been researched, the recognition of vehicles using all features has not been studied due to its complexity. In this paper a novel method is proposed to identify vehicles with specific information, i.e., color, license plate, and vehicle's model. Low level image processing and texture descriptors are computed from the front image of vehicles. Then, two three layer neural networks were built and trained for license plate and vehicle's model.
Vehicle identification, license plate recognition, texture, GLCM
