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Human face recognition is one of the challenging topics in the areas of pattern recognition, image processing and computer vision. Before recognizing the human face, its necessary to detect a face then extract the face features.Extraction of facial features using geometric distance on facial features such as eyebrows, eyes, nose and mouth compared with extraction based of skin color on human faces and using Naïve Bayes Classifier as its classification method. This paper presents a comparison of the two methods in terms feature extraction with geometry and skin color for getting accuracy.