This project presents the design and implementation of a secure face recognition system integrated with image watermarking and data hiding techniques using MATLAB. The main objective is to enhance the security, authenticity, and confidentiality of biometric face data during storage and transmission. In the proposed system, facial images are first acquired and pre-processed through grayscale conversion, noise reduction, and feature extraction. MATLAB image processing and pattern recognition tools are then used to identify and match facial features accurately. To prevent unauthorized access and tampering, digital watermarking is applied by embedding ownership or authentication information into the facial image without affecting recognition performance. In addition, data hiding (steganographic embedding) is used to conceal sensitive personal information inside the image pixels in an imperceptible manner. This dual-layer security mechanism ensures both image integrity and secure metadata transfer. The project demonstrates how biometric recognition can be combined with multimedia security techniques to build a robust authentication framework.