In the context of Face Recognition the paper compares between Principal Component Analyses (PCA) and Independent Component Analysis (ICA). In the psychological and algorithmic literature Principal Component Analyses (PCA) and Independent Component Analyses (ICA) are the basis of numerous studies. Classical technique in statistical data analyses is called Principal Component Analyses (PCA) and technique of array processing and data analysis is called Independent Component Analysis (ICA). This paper gives the better concept how each algorithms are worked. This concept helps to advance level experiment. Besides, those method is so strong others system and algorithm. In both case, ICA performs good but not as good as PCA. For Face Recognition Principal Component Analyses basis algorithm represents intelligent suction of a random search within a short time and its can detect to solve the problem.