Face Recognition Using Independent Component Analysis Algorithm
Face recognition system compares the tested face with the various training faces reserved in the database with an efficient success rate. The best matching of the tested face with the training faces is an important task. In this paper, how to recognize a face is presented; two different analysis algorithms are included in the evaluation system: Eigen face and ICA. The local dataset used in this paper is pre-processed using statistical standard methods. Pre-processing software, which is provided by the Colorado State University (CSU) face identification evaluation system version 5.0 under Unix shell scripts, was written using ANSII C code.