Face recognition is the capability of identifying and authenticating the dominating and leading features of the face from the dataset images. It`s important in Access and Security, Healthcare, Banking, Criminal Identification, Payment, Advertising, and in many other fields. In this paper, we have assessment important basic phases of face recognition like Pre-processing, Face Detection, Feature Extraction, Optimal Feature Selection, and Classification. Feature Extraction, Feature Selection, and Classification play a major role in face recognition. The research area of statistical texture classification is widely investigated in several computer vision and pattern recognition problems. A general framework for face recognition with statistical and geometrical approaches and classification presented in this survey paper.

Face Recognition, Feature Extraction Approaches, Optimal Feature Reduction, Classification

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