Tracing Missing Person Through Facial Recognition Using Deep Learning

Face recognition is an emerging technique which is used to observe and identify the similar faces. In the present scenario, we can see that all over the world, day to day, some individuals are missing in our local areas. To find them normally, it is very difficult to track the individual's locations. So, by using this face recognition technique, we can identify similar faces, which help to reduce our time consumption. This project proposes a deep learning model to identify and match the captured images in all directions from various sources like cameras and public databases. Here, we are creating a system that can identify the images using convolutional neural network (CNN) and local binary pattern histogram (LBPH) algorithms to match the facial features of both images. Both algorithms will enhance more accuracy and efficiency in locating individuals by employing face recognition techniques.