Cluster base face recognition

Abstract

Face recognition is the process of recognizing face either from video or an image. Face recognition has grabbing extensive
attention due to its wide application in many areas like criminal identification, home automation system, surveillance system
and many more. Face recognition has received substantial attention from researches in biometrics, pattern recognition field
and computer vision communities [1][2]. In many applications image database is very large for example criminal database
contain image of all criminals of country and there are many criminals in the country. To identify criminal from this large
database it take large processing time Many face recognition algorithms have been developed by researchers. Here we have
proposed Cluster based Principal component analysis (PCA) for face recognition. Our goal here is to recognize face from large
database with minimum delay.