FKP recognition using ICA-based inverse FDA

Abstract

ICA concerns high-order dependencies between variables. In this paper, a new feature extraction method is proposed by combining Inverse FDA with ICA. ICA is applied to sample images to provide the high-order statistical information and reduce dimension. Inverse FDA is used for discrimination. Experimental results on FKP database show that our proposed method is efficient.