In this paper, the authors propose an access control system using human face recognition. Basically, the system composes of two main parts: face recognition and door control. The contribution of the paper is the automatic access control system which uses face recognition method based on LBPH (Local Binary Pattem Histogram) feature matching and classification of minimum distance decision rule. The advantages of LBPH features is that they have high speed of matching and suitable for real-time face recognition applications. the authors have compared the performance of the face recognition method using LBPH with two state of the art methods based on LOA (Linear Discriminant Analysis) and PCA (Principal Component Analysis). The experimental results show that the proposed method outperforms the state of the art methods. Based on this result, in order to open door automatically, the authors design a hardware circuit which connects a computer with an electrical door. This circuit has the function of a normal lock. It controls the door to be opened or still closed based on the face recognition result.