This paper presents a face recognition system and identifies a person’s liveliness by recognizing his/ her facial spoof detection system. The implementation of the proposed system has three components: (i) real-time image data acquisition with human facial regions, (ii) extraction of the facial region from the input images, (iii) extraction of features by analyzing the facial pattern using both traditional and deep learning-based techniques for both face liveliness detection and recognition of a person, (iv) extensive experimentations have been performed to obtain the performances of both subject recognition and subject liveliness detection and comparing the performance with some existing state-of-the-art methods.