The paper presents a new approach to matching an image to a model based on straight line features. In this approach, model is constructed by selecting lines that can describe the boundary of the object. Because the algorithm utilizes multi-properties of the line hierarchically, it works efficiently and reduces the possibility of mismatch. Some experiments on both real and emulated images are discribed. It is practical in its applications, such as object recognition, change detection, and vision navigation etc.