Object recognition by a complete set of pseudo-Zernike moment invariants

The completeness property of the invariant descriptors, which is of fundamental importance from the theoretical as well as the practical points of views, has been investigated by several research groups. In this paper, we propose a new approach to derive a complete set of pseudo-Zernike moment invariants. We first establish a relationship between the pseudo-Zernike moments of the original image and those of the image having the same shape but distinct orientation and scale. Based on this relationship, a complete set of scale and rotation invariants is derived. Experimental results show that the proposed method has better performance in pattern recognition compared to existing method.