FACE RECOGNITION ON UNCONDITIONAL IMAGES

Abstract

Humans can quickly identify faces without much effort. It's an easy task for us, but it's a difficult task for a computer. There are various complexities such as low resolution, occlusion, lighting variations, etc. These factors greatly affect the accuracy of the computer to recognize the face more effectively. First, it is necessary to understand the difference between face detection and face recognition. Face detection and image or video recognition is a popular research subject in biometrics. Real-time face recognition is an exciting field and a rapidly growing challenge. A framework for using facial recognition application authentication. The main goal of facial recognition systems is to ensure that everyone has a unique face. We know that every person has a unique fingerprint, so every face has unique features. Here we use human facial features. It can store the facial features of many people and identify them based on their facial features. Face recognition and facial recognition is a difficult and challenging task. For a facial recognition system to be authentic, it must be accurate and precise. The facial recognition technology took pictures using cameras and compared them with pictures stored in a database. If the captured image matches one of the saved images, matching faces will be displayed. If no match is found, an unassigned face will be displayed.