Radial Tchebichef moment invariants for image recognition

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

► Radial Tchebichef moments (RTMs) are discrete orthogonal moments.
► Presented a method to construct a complete set of invariants extracted from RTMs.
► Images reconstructed by RTMs show more visual resemblance than other methods.
► The proposed method is robust to noise and smooth distortion.