Video based Parallel Face recognition using Gabor filter on homogeneous distributed systems

This research aimed at building a fast video, parallel face recognition system based on the well known Gabor filtering approach. Face recognition is done after face detection in each frame of the video, individually. The master-slave technique is employed as the parallel computing model. Each frame is processed by different slave personal computers (PC) attached to the master, which acquire and distribute frames. It is believed that this approach can be used for practical face recognition applications with some further optimization