The identification of face recognition refers to the computer technology of using of analysis and comparison face visual feature information for the identification. It can detect the human target, extract features and identify persons. This paper presents a method of feature extraction and quick recognition for frontal face, which has a good robustness for some unexpected faces. For frontal face, the paper selects face contour, ears and triangle area between two eyes and nose as the features to be extracted. Extracting these features by different algorithms and analyzing the importance of them. According to the importance, different weights are put to these features. Finally, fuse these features for face recognition, in order to improving the recognition and ensuring the quick recognition.