A Survey of Different Independent Component Analyses Algorithms used for Pattern Recognition

Vandana Kumari , Divya Prakash

Abstract

Data security attacks remain a top concern, and the research on reliable recognition of human-machine interaction i.e face recognition is the topmost priority. A central problem in neural network research, as well as in statistics and signal processing, is finding a suitable representation of the data, using a suitable transformation This paper reviews the problem of face recognition using a survey of different algorithms as an independent component. Here, the edge information is obtained by using the Independent Gabour feature method (IGF), it derives the Gabour feature vector based upon a set of down-sampled Gabour wavelet representations of images by incorporating different orientation and scale local features.