Paper Details

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.