Automated Student Attendance Management System Using Multiple Facial Images

Attendance management system using hybrid face recognition techniques [2] which uses modified viola-jones algorithm and free partial face recognition algorithm for face

By using Facial Recognition, the process of taking attendance can be significantly improved to save time and provide a hassle-free way to automatically mark attendance.. Since

To eliminate the manual labor involved in recording attendance, an automated Attendance Management System (AAMS) based on hybrid classifier face detection and

As the time for corresponding subject arrives the system automatically starts taking snaps and then apply face detection and recognition technique to the given image and the

Video surveillance is used to detect the object movement thereby the captured image undergoes face detection and recognition process and searches the student database and enters the

Video surveillance is used to detect the object movement thereby the captured image undergoes face detection and recognition process and searches the student database and enters the

The facial recognition technology can be used in recording the attendance through a high-resolution digital camera that detects and recognizes the faces of the students

Attendance of the student are marked using the recognized face of every individual student and the data is stored in an attendance sheet. The attendance of every