On The Behaviour Of Higher-order Spectral Features For Object Recognition In The Presence Of Various Types Of Noise

Abstract

This paper presents results on the robustness of higher-order spectral features to Gaussian, Rayleigh, and uniform distributed noise. Based on cluster plots and accuracy results for various signal to noise conditions, the higher-order spectral features are shown to be better than moment invariant features.