Advance Facial Recognition Using Liveness Estimation with Multi-Model Techniques

This research work focuses on the importance of facial biometric systems and their limitations. Biometric system is emerging technology that focuses on identifying a person on his/her physiological characteristics. Biometric systems are assumed to be better than password protected systems because of their authenticity. Facial Biometric systems have also some limitations. The proposed scheme took advantage of multi-model facial biometric techniques for liveness estimation. The liveness estimation is done by two different models. i.e. Detection of hand movement and letters recognition. The results based on real and artificial data proved that the scheme efficiency is 85% more effective as compare to the other schemes.