Affine invariant object recognition using dyadic wavelet transform

This paper presents an efficient technique of recognizing planar objects under affine transformation. This technique is based on analyzing the object boundary using the dyadic wavelet transform. Two invariant functions are derived using different dyadic levels. Experimental results show that these invariant functions are more efficient than some traditional methods. In addition, these invariant functions are stable to perspective transformation.