Face Recognition Based Unsupervised Attendance File Generation Using Local Binary Pattern Histogram

Abstract

Attendance management system is an important part of daily online/offline classroom evaluation. At the beginning and end of class, it is usually checked by the teacher, but it may appear that a teacher may miss someone, or some students answer multiple times. Our project is based on face recognition and face recognition technologies. The concept of face recognition is to give a computer system the ability to find and recognize human faces fast and precisely in images or videos. Computers that detect and recognize faces could be applied to a wide variety of practical applications including criminal identification, security systems, identity verification etc. The entire process involved in our project can be categorized into two main processes as face detection and face recognition process. Face detection involves the detection of an input image for further processing. Face Recognition, where the detected and processed face is compared to the database of known faces to decide the correct person. The attractiveness of the proposed system is it generates an attendance file which includes the subject name alongside other parameters which are already present. Easy accessibility of attendance using excels technology.