Thinking about the presence of an exceptionally huge measure of accessible information archives and distinguished the data from a facial ID and creative framework have come a long way in the last several years. One of the key areas for identifying an individual's proof is face recognition by the offices of law organization in the latest things of forensic science. Many studies focus on applying deep learning techniques to benefit from machine learning models for highlight extraction and classification to recognize the unique person.The first half of this review study primarily focuses on deep learning methods for face identification and matching, which increased the accuracy of face recognition algorithms by training them with large volumes of data.In this case, the paper incorporates review of various strategies used to distinguish a face from pictures additionally talked about difficulties for recognition.

Deep Learning, CNN, Face Recognition, LetNet, AlexNet, ZFNet, Google Net, Res Net, R CNN