It is one of the important tasks of the vision system of an autonomous land vehicle (ALV) to locate itself by lane mark. In this paper, a multi-layer template correlation neural network (MTCNN) based on the pipelined image processing structure is proposed for the recognition of lane mark. A structure of the MTCNN and the training algorithm are presented. In addition, a comparison between MTCNN and MLFNN is introduced. The results of simulation manifest that the proposed MTCNN is very efficient for the task such as recognition of lane mark that is based on the pipelined image processing structure.