7. The method of claim 1 , wherein steps (f) and (e) comprise the sub-steps of: (i) obtaining a (x, y) coordinate from each of the match facial feature points of the match facial image and the corresponding matched facial feature points of the reference image; (ii) creating a match geometric model based on the (x, y) coordinates of the match facial feature points of the match facial image according to a first predetermined model; (iii) creating a reference geometric model based on the (x, y) coordinates of the corresponding matched facial feature points of the reference image according to the predetermined model; (iv) obtaining a model deviation by calculating the match geometric model and the reference geometric model according to a second predetermined model.
7. The method of claim 1 , wherein steps (f) and (e) comprise the sub-steps of: (i) obtaining a (x, y) coordinate from each of the match facial feature points of the match facial image and the corresponding matched facial feature points of the reference image; (ii) creating a match geometric model based on the (x, y) coordinates of the match facial feature points of the match facial image according to a first predetermined model; (iii) creating a reference geometric model based on the (x, y) coordinates of the corresponding matched facial feature points of the reference image according to the predetermined model; (iv) obtaining a model deviation by calculating the match geometric model and the reference geometric model according to a second predetermined model. 8. The method of claim 7 , wherein the recognition score comprises forward recognition score and a reverse recognition score.