Abstract.No one can deny the fact that face recognition systems, as one of the most adaptable systems in biometric facial recognition, has interestingly been one of the fields that draw researchers' attention to enhance the efficiency and efficacy of biometric applications. These researchers have mainly focused on the existed limitations such as extracting unique and differentiable features that are not disturbed by pose, as well as illuminations and other environmental and physical variations. As such, using an Active Appearance Model (AAM) is known to be a solution to extract features by precise modeling of human faces under various physical and environmental circumstances. This research paper tries to draw attention to using AAM based 1 to N face recognition system which the performance of such system can be seen in the experimental results.