Abstract: “In the field of face recognition, this paper explores a comparison of five most popular algorithms. These algorithms are Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Independent Component Analysis (ICA) , Support Vector Machine (SVM) and Histogram of Gabor Phase Patterns(HGPP). The performance of the algorithms have been measured in terms of the accuracy, training time, testing time, total execution time and memory usage for train and test the databases. The algorithms have been tested on the AT&T and IFD face database. The investigation shows that SVM outperforms the rest of the algorithms.”

Keywords: PCA, ICA, LDA, SVM, HGPP