Abstract
Face recognition systems due to their significant application in the security scopes, have been of great importance in recent years. The existence of an exact balance between the computing cost, robustness and their ability for face recognition is an important characteristic for such systems. Besides, trying to design the systems performing under different conditions (e.g. illumination, variation of pose, different expression and etc. ) is a challenging problem in the feature extraction of the face recognition. As feature extraction is an important step in the face recognition operation, in the present study four techniques of feature extraction in the face recognition were reviewed, subsequently comparable results were presented, and then the advantages and the disadvantages of these methods were discussed.
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