As we all know, many more computer technologies are becoming popular for discrete applications these days, but identity verification for biometrics and security purposes is critical in industrial systems, banking systems, educational systems, and mobile systems, among other places. On that scenario identifying and recognizing the facial features is a basic requirement for authentication to reduce the embezzlement in above mentioned systems. Face detection is one of the computer technology and psychological process implemented to examine the human faces in digital images, however in face recognition system information of human face captured by camera or video frames is compared with the datasets of images. For considered system, 15 different datasets are taken for this training model to recognize the faces of different individuals. Till now lot of researches has been done on facial detection but some limitations like accuracy, real time face detection exists. This algorithm has more speed and accuracy to identify images with respect to feature extraction like nose, eyes and mouth of human being that varies from person to person. The proposed algorithm uses AI to match above unique features of individuals with databases of faces and find the name of that individual. It is used to authenticate clients via ID verification systems for preventing crime, unlocking devices, providing blind assistance, biometric systems, and payments, etc.
