Face Detection and Recognition Using Digital Image Processing: "State of the Art"
Neeraj Singla, Garvit Singla, Navya Maggon · 2022
With growing techniques and computer technologies emerging, biometric recognition system has gained immense popularity among the masses. Amongst the entire biometric recognition system, face detection has been one of the most important goals of computer vision, but only in the recent years, has it been prevalent by means of social tagging and image processing. Face recognition refers to the technique of identifying one’s biometrics using their facial features, for example, eye color, nose and lips. In this paper, we shall discuss the various methodologies and approaches which can be used to implement the face detection system [1]. Due to the hike of video and image databases, it is the need of the hour for automatic understanding and examination of information by intelligent systems. It is the face through which we convey, identify feelings from person to person. Therefore, face recognition plays an vital role in our day-to-day life. Since sensitive data such as face id, biometrics are easily accessible to hackers so Digital Image Processing plays a very important role in Biometric recognition technique. Face recognition has the potential in a real time surveillance system.