Recognizing collaborators using a flexible approach based on face and voice biometrics

In this paper, we propose an access control method based on the combination of two biometric recognitions: voice and face. This method can be integrated into several systems, as it has been developed as a Web application, so it is highly multi-platform. In particular, our face recognition algorithm aims at determining a person´s identity when he/she is involved in situations in which his/her face is rotated in a shoulder to shoulder trajectory, which is a common behavior on people with a stealth or intromission attitude. The other biometric, the voice recognizer, allows us to confirm the prediction made by the face recognizer. The experimentation results of our method reveal that it performs really well, as it gives 89% of accuracy, unlike traditional face recognition algorithms, which could not identify any one, whose head presents a pronounced inclination.