Face recognition is becoming a popular field in the evolution of computer applications in the last several years due to the vast range of software. Face identification is arduous because of the enormous variety of faces. Facial recognition is related to image processing, pattern recognition, and computer vision. The development of face recognition algorithms necessitates constantly creating new methods to face authentication technology. A review of human face recognition is mentioned in this paper. The Application and Principles of face recognition are discussed along with the face databases used to determine the efficiency of these face recognition algorithms and their flaws. Two basic techniques for feature extractions are analyzed to identify a face. Model-based methods, appearance-based and hybrid systems are described. The features of suitable face identification, distance measurements, face databases, classification, and an overview of necessary person recognition studies are also discussed with the implementation of the own created dataset. Finally, proposed techniques and challenges with future trends are highlighted.