Attendance Marking System based on Hog Descriptor Algorithm

Abstract

The atmosphere of individuals in a workspace is an important part of the daily management. Attendance is however a method to keep the record of the presence and absence of the individuals. Students' attendance has been taken using paper-based methods for decades. This attendance approach has been used for a long time. This strategy may be appropriate and practicable for a small group of attendees, but it is time and energy consuming for a bigger group. The drawbacks of this procedure are well-known and well-understood: it takes time, is prone to errors, and there is always the possibility of proxy attendance. We provide a practical and fashionable way for recording attendance using face recognition technology. The technology will recognize a person's face, and compare it to the database to determine whether they are present. Furthermore, the attendance sheet is kept with student information and time, which can be manually amended if necessary. Using this approach, the problem of fraudulent attendance and proxies can be solved.