Face recognition is an important biometric technology used for secure access control systems. This project presents a Face Recognition Door Locking System using MATLAB, designed to provide a reliable and contactless method of authentication. The system captures facial images using a webcam and processes them using image processing techniques. The implementation involves two main stages: training and recognition. In the training phase, images of authorized users are collected, pre-processed, and features are extracted using Principal Component Analysis (PCA). In the recognition phase, a live image is captured, processed, and compared with stored data using Euclidean distance to identify the user. If a match is found, the system grants access by displaying “Door Open”; otherwise, it denies access with “Access Denied.” The proposed system is simple, cost-effective, and efficient, eliminating the need for traditional methods like keys and passwords. It demonstrates the practical application of face recognition technology and can be further enhanced for real-time and hardware-based implementations.
