As the existing local stereo matching algorithms can not distinguish t he strong and weak different texture regions well,and can not solve the disparity ambiguity p roblem in the step of disparity selection,a stereo matching algorithm based on gradient characteri stics and confidence is proposed in this paper.Firstly,the gradient features are calcula ted,and the support window which is used to calculating the matching cost is selected according to g radient feature information,and different sizes of support windows can be selected according to strong or weak different texture,which effectively improves the accuracy of stereo matching an d effectively reduces the false matching rate when in the process of calculating matching cost .Secondly,the confidence constraint is introduced into disparity calculation to solve disparit y ambiguity in the step of disparity calculation and improve the stability of stereo matching algor ithm.Finally,the singular value which is detected by left and right consistency detection is corr ected by using cross- region detection in horizontal and vertical directions.The experimental results show that the average mismatch rate of 31pairs of stereo images in the Middlebury dataset is 7.96%.Compared with common stereo match algorithms,the result show proposed algorithm is effec tively improves the stereo matching accuracy.