In view of two fundamental reasons, face recognition system has gotten consideration in the research. The primary reason is the extensive variety of business and law enforcement applications and second reason is concerned with the accessibility of the attainable advancements. The combination of PCA-SVM (Principal Component Analysis and Support Vector Machine) and PCA-ANN (Principal Component analysis and Artificial Neural Network) techniques for face recognition system have been easily found in recent years. Some researchers came up to improve PCA-SVM and PCA-ANN combinations. This paper gives state-of-the-art audits of these blends and tries to clarify the reason that why PCA is utilized with numerous classifiers and which one combination is ideal to use in future.

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