1. Final Year Project Vision based biometric authentication system By Padraic ó hIarnain

2. Vision based biometric authentication system Advantages over the standard password based authentication system More secure – anyone may enter another user’s password More secure – anyone may enter another user’s password Less tedious – having to lock and unlock a terminal when a user moves away from it Less tedious – having to lock and unlock a terminal when a user moves away from it Practical – Recent advances in imaging processing techniques make this system just as practical as a password based system Practical – Recent advances in imaging processing techniques make this system just as practical as a password based system

3. Vision based biometric authentication system What's involved Camera – a camera connected to a PC retrieves images in real-time Camera – a camera connected to a PC retrieves images in real-time Face detection – images are analysed and faces are detected in the images Face detection – images are analysed and faces are detected in the images Face recognition – the detected faces are analysed and compared to a database of images Face recognition – the detected faces are analysed and compared to a database of images This work is then integrated with the PC’s authentication system This work is then integrated with the PC’s authentication system

4. Face Detection Process of Face detection Image is filtered so regions likely to contain human skin are marked Image is filtered so regions likely to contain human skin are marked Taking this marked region, the darkest and lightest regions are removed. The regions removed are usually the eyes, eyebrows, nose and mouth. If a skin region has removed regions than it is usually a face. Taking this marked region, the darkest and lightest regions are removed. The regions removed are usually the eyes, eyebrows, nose and mouth. If a skin region has removed regions than it is usually a face. This face image is extracted and face recognition begins. This face image is extracted and face recognition begins.

5. Face Recognition Process of Face recognition The face image captured is now used in the face recognition process The face image captured is now used in the face recognition process This face image is analysed and considered as a high-dimensional vector This face image is analysed and considered as a high-dimensional vector This vector is then compared to all the face images in the database, looking for a match. This vector is then compared to all the face images in the database, looking for a match.

6. Authentication system The face recognition system will be integrated with PC’s authentication system. If a match is found for the face image than it will log that user on. The face recognition system will be integrated with PC’s authentication system. If a match is found for the face image than it will log that user on. The camera will be capturing images in real- time so if a enrolled face is not detected in front of the computer, the user is logged off. The camera will be capturing images in real- time so if a enrolled face is not detected in front of the computer, the user is logged off.

7. QUESTIONS