Face recognition system to enhance E Health

Biometrics serves to identify and authenticate individuals and is in many cases replacing current password systems. Its relevance is increasing in many areas of our daily lives, one of them being healthcare. The merits of biometrics to perform e-Health are discussed in this paper. We feel that the optical sensor (fingerprint, finger-vein, face, iris, and retina) using the videophone system is a promising biometrics system for e-Health, e.g. telemedicine. Face recognition is one of the most hot, potential and challengeable technologies, which is based on biometrics. As the most natural and friendly identification method, automatic face recognition has become the important part of the next generation computing technology. Utilize the symmetry of the face for face recognition, select average half-face for research. The consequence of this discovery may result in substantial savings in storage and computation time. We would like to apply the average-half-face to facial feature extraction methods using wavelets and PCA.