Abstract: The paper is divided into following sections namely, text password recognition, text-dependant speech recognition, face recognition. The first stage involves simple alphanumeric character recognition. Mel Frequency Cepstral Coefficients (MFCCs) are the most popularly used speech features in many speech and speaker recognition applications. Speaker identification can be Text-Independent or Text-Dependent. This paper describes an approach of Text-Dependent speaker recognition by using the MFC Coefficients extracted from speech signal of spoken words. The third stage comprises of face recognition for which the proposed method is based on the principle component analysis algorithm. The algorithm MFCC used in this project for speech recognition is the best. This is because it analysis the speech signal on the basis of the human perception of the sound i.e. in the Mel scale. The PCA algorithm is a simple algorithm. This algorithm is used to reduce the computational time of the overall project.