Corner detection for object recognition by using wavelet transform

We propose a novel scheme for corner detection algorithm using wavelet transform. The development of the method depends on a new wavelet function which is designed specifically for corner features. We know that corner points have high curvature on the contour. Our method can utilize both the information of the local extrema and modulus of transform results to detect corners and arcs effectively. Experimental results show that the proposed algorithm has good performance.