Fractional low-order independent component analysis for face recognition robust to partial occlusion
Xi Chen, Wen Li, Zengli Liu, Zaihong Zhou · 2014
As biometric vector may not follow the Gaussian distribution under complex light, pose and accessories, systems often yield unacceptable performance when subjected to impulsive, non-Gaussian noise. This paper adopts signal symmetric alpha stable distribution theory to construct fractional low-order independent component analysis algorithm (FLOD-ICA) and applied FLOD-ICA to solve the partial occlusion face recognition problem. Experiments verified that our proposed scheme is effective for face recognition under partial occlusion.