An attendance system for exams using face recognition based on MTCNN and open CV algorithm

Abstract EN

In access systems, authentication and identity verification are major considerations.

Face recognition has been widely used in numerous applications and is helpful in validating biometrics.

Most educational institutions and examination centers find it challenging to manage attendance using the traditional system.

Institutions have been very concerned about student attendance, which takes a lot of time and effort to determine and is a laborious job with a high chance of error during the data entry into the computer.

This paper proposed a face recognition-based automated system for storing records of attendance.

The proposed system uses the LBP algorithm for facial recognition and the Haar-Cascade and MTCNN algorithms for face detection.

Additionally, the system creates a data table to track students' attendance along with a request for access from the student.