The Implementation of the Visitor Access Control System for the Senior Citizen Based on the LBP Face Recognition

Many admission control systems require the face recognition processing in real time to guarantee the security. There are many well-known face recognition technologies have been proposed such as the linear discriminant analysis (LDA), discrete cosine transform (DCT), principal component analysis (PCA), and local binary pattern (LBP). In this study, we implemented an LBP-based visitor access control system for the senior citizen. The embedded platform to install the LBP is Raspberry Pi. The OpenCV is adapted as the classifier and the USB camera is used as the input device for capturing the face images. The Eigenvectors of the images in the training set are compared with the input face image for identify a person. The experimental results show that the implemented system can achieve 90% face recognition rate. The implemented system is low-cost and suitable for developing the visitor access control system for the senior citizen.