Face recognition implementation for client server mobile application using PCA

For the past few years in the face recognition research area are made very progressive improvements. This is because of the high level and versatile technologies in use nowadays, and high level of processors running on our machines and mobile phones. Available technologies provide mechanisms which use face recognition for security identification (user face) and authentication purposes. The aim of this paper is to present and propose client - server model and to compare it with the most recent client - server models for face recognition with a GPG infrastructure which uses security private key (symmetric encryption) with main purpose to securely transmit image (user face) over the network. Moreover in the face recognition algorithm is implemented Principle Component Analysis (PCA) algorithm for face recognition. Proposed system has been tested on the mobile phone with Android OS platform, using previous research experiences where system was initially developed for DROID emulator. The implementation of the PCA is done on the MATLAB side.