The objective of this project is to design and develop a Face Recognition-Based Secure Authentication System using computer vision techniques. The system verifies user identity through facial recognition, enhancing security and usability while helping students gain practical experience in image processing, machine learning, and secure authentication mechanisms.
Study fundamentals of computer vision and face recognition techniques.
Analyze image processing concepts such as face detection and feature extraction.
Prepare Software Requirement Specification (SRS) and system workflow documentation.
Design system architecture including camera input, face recognition module, and authentication server.
Create database schema for user profiles, facial embeddings, authentication logs, and access records.
Implement user registration process to capture and store facial data securely.
Integrate face detection using libraries such as OpenCV or similar tools.
Implement face recognition model using pre-trained models (e.g., Haar Cascade, LBPH, or deep learning-based methods for MCA level).
Apply encryption techniques to securely store facial embeddings.
Develop authentication module to compare live image with stored facial data.
Implement fallback authentication method (PIN/OTP) for verification failure.
Maintain logs for authentication attempts and access history.
Design user-friendly interface for capturing and verifying face data.
Perform testing under different lighting and pose conditions.
Validate system against spoofing attempts (photo-based attack simulation).
Prepare documentation including system architecture, model explanation, ER diagrams, and test cases.
Deploy the system locally and demonstrate real-time authentication.
