A Novel Approach of Face Recognition Using PCA and K Mean Clustering

Abstract

Face recognition is emerging as one of the popular field in the biometric research. It is used in various surveillance systems for the security purpose as it doesn't need object comparison.  The main advantage of using face recognition system is its uniqueness and acceptance over other biometric systems. Though this system is considered to be accurate but the detection of face is a difficult process as face detection is having the high degree of variability. The main problem with these types of systems is the accuracy and the speed of detection of the face.  Various techniques have been proposed earlier for detection of the face but still the results obtained were not efficient.

So in this proposed method the face detection and the signature verification are combined for increasing the security of the system. After the extraction of the feature using K mean feature extraction has been applied. From the results obtained it is concluded that this proposed approach is efficient than the traditional method of face recognition. The efficiency and the accuracy of the proposed system is more.