Face Recognition by Using a Gabor Wavelet, Rough Set Theory and KNN Classifier

Face recognition presents challenging problem in the field of image analysis and visualization. Face recognition has been rapid growing, demanding, exiting and motivating area in real time application. Large amount of face recognition method has been developed in last recent decades. The security information is becoming very significant and difficult. Face recognition is the ability to establish a subject identity based on his facial characteristics. It is a biometric system used to recognize or confirm a person from a digital image. To detect human faces from an image is a key problem in various face-related applications such as face-tracking, face-recognition, facial expressions etc. It involves extraction of features and then recognition in spite of expression, illumination, ageing, transformation such as transform; revolve which is not so easy. From this paper we have put forward a methodological improvement of face recognition by using Rough Set Theory and KNN classifier.