Owing to the past few decades, Face recognition came in to one of the most lively research areas in computer vision and pattern recognition. Human face recognition is indeed a challenging task, especially under the illumination and pose variations. It is challenging as well as attractive for its usefulness in the area of crime detection and identity verification. This paper compares the different face recognition techniques like feature extraction techniques like geometry-based feature extraction, appearance based techniques and template based feature extraction. With the increase in the number of proposed algorithms and techniques the survey and evaluation of these algorithms and techniques becomes more vital to provide a boost to the research activities. Henceforth, the primary aim of this paper is to provide a critical summary and working paradigm of the existing human face recognition techniques which in turn will be greatly useful for the researchers to compute the problems in hand.

Face Recognition System, Face Detection, Holistic approach, Feature-based approach, Face Segmentation

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