The description of image region draws a lot of attention in the field of computer vision. Recently, many descriptors were proposed for image region description and achieved high achievements. These descriptors are widely used in many fields, such as object recognition, image mosaic, video tracking. In this paper, we first systematically analyze six typical descriptors: SIFT, DAISY, MROGH, MRRID, LIOP and HRI-CSLTP descriptors. Then we conduct experiments in several different situations to evaluate the performance of these descriptors. From the experimental results, we get to make a conclusion and analysis about the advantages and disadvantages of these descriptors. Finally, we make an application of these descriptors in image matching field.