Real Time Attendance Entry Using Face Detection and Recognition

The human face is the feature that most clearly identifies a person. The face recognition system can be developed using facial traits as a biometric. The most difficult task is frequently keeping track of attendance. While taking attendance traditionally, teachers call the pupils forward and accurately note whether they are there or not. Yet, these conventional methods require a lot of time and effort. The Open CV-based facial recognition approach has been put out in this work. An input image is captured by a camera followed by which the chosen algorithm of Local Binary Pattern Histogram undergoes a testing phase to perform face detection followed by face identification and thus performing attendance logging in real time meeting many real time applications.