A new approach of stereoscopic imaging analysis for biometric recognition using traditional eigenface technique

Face Recognition has been beneath active research for more than fifteen years to improve its performance and efficacy under many challenging circumstances. We have introduced a new technique which uses Eigenface for detection of faces followed by projecting them to obtain 3 dimensional images. Here by using face modelling system a collection of 3D face models are built and principal component analysis is implemented over the set. The stereoscopic process to attain 3D is done by obtaining the disparity and depth map of the images. Using this disparity, the mesh is created for the face which is used as a proof for accurate identification. We go for 3D to increase the efficiency of the biometric systems. Our technique can be implemented in real time applications such as mobile phones, digital cameras and web cameras and also in biometric-based authentication applications.