Invariant Pattern Recognition Using Radial Tchebichef Moments

Radial Tchebichef moments as a discrete orthogonal moment in the polar coordinate have been successfully used in the field of pattern recognition. However, the scaling invariant property of these moments has not been studied due to the complexity of the problem. In this paper, we present a new method to construct a complete set of scaling and rotation invariants extract from radial Tchebichef moments, named radial Tchebichef moment invariants (RCMI). Experimental results show the efficiency and the robustness to noise of the proposed method for recognition tasks.