In order to solve the matching problems of feature points in two images,we introduced a new point feature matching method based on a new shape content descriptor.Firstly,the corners and the curves relative to each corner were obtained using the Curvature Scale Space (CSS) technology.Secondly,the shape content descriptor of each corner was computed,and the matching degree was gained by χ² distance between the two descriptors.The matching was successful if the degree was bigger than a certain threshold,so the initial set of matches was obtained.Finally,more accurate matches were eventually found by using the semilocal constraints to the initial set of matches.The experimental results show that a very high correction matching rate can be obtained by the algorithm.