A wheel model identification algorithm based on Shape Recognition and Texture Filtering is proposed. Firstly, a spokes shape of a standard template is defined, and its edge map is obtained. Taking the template as a window to shift matching at an edge detection figure of the identified image, the minimum distance between template and region of interest of the identified image is calculated. If the minimum distance is less than the specific threshold, a shape consistent with the template is determined. Then, Random Walk Operator is used to traverse the identified image and obtain the Wander Histogram. Comparing this histogram with the Wander Histogram of template wheel, the texture deviation degree of two image is calculated, and the right wheel model is determined. Finally, the experimental results show this algorithm has the advantages of noncontact, flexibility and accuracy, and has good robustness for the shape recognition with heavy disturbance.