Face recognition is one of the most biometric technique in developing security world. In our proposed use robust method to recognize 2D face using the robust algorithms. Principal Component Analysis (PCA), techniques will help to extract the feature of the Face and combine those values to recognize the face by using the K-nearest neighbor classifier (KNN). That all proposed process give very accurate result combine to the existing method. In that method the performance of the face recognize is improve.