There are a no. of face recognition algorithms including feature extraction, feature selection and feature recognition. This is the area growing more & more implementing 3D pattern recognition and video clips. This algorithm gives a simplified approach for recognizing a face from a repository of faces. A face recognition algorithm includes feature extraction which take out the necessary portions of faces or ROI(Region of Interest) and applies selection on this set of features. Finally applies any recognition or matching algorithm to match with data set. In this paper, we make use of localization algorithm for making a localized portions of focus from a face clip. From this collected data, we select the best feature set using mathematical equation of optimization. At last we apply ACO (Ant Colony Optimization) that is a genetic algorithm of optimization for recognizing the face. The algorithm gives good result with minimized cost & time factor.
ACO algo, localization, mixed and simplified, Time-Cost Reduction
