Abstract: Harris corner detection is a classical algorithm, but has not the property of scale invariant. In this paper, the multi-resolution idea is introduced into the Harris algorithm, and the wavelet-based formula for measuring the image intensity variation is developed, meanwhile, the auto-correlation matrix is obtained that reflected the scale variation information. Then, a novel Harris multi-scale corner detection algorithm wavelet-based is presented, which might detect the corners in different scales and overcome the drawback that the single-scale Harris detector usually leads to either missing significant corners or detecting false corners due to noise. Compared with Harris algorithm, the presented algorithm is more efficient in detecting the corners with accurate location and is robust with respect to noise.