AUTOMATIC ATTENDANCE MARKING SYSTEM USING FACIAL RECOGNITION

ELECTRONICS AND COMMUNICATION ENGINERRING

Facial recognition is one of the most important sub systems in digital image processing. Human face is an important biometric object in image and video databases of surveillance systems. Detecting and locating human faces and facial features in an image and pose can vary significantly from frame to frame. MATLAB vision toolbox will be utilized to detect the face from input and it uses DRLBP algorithm. Multiple user faces are detected and recognised with the data base trained multiple texture based features.The appearance features are extracted from detected face part which describes changes of face such as furrows and wrinkles.An automated system for human face recognition in real time background for a college to mark the attendance of their employees and students. The major steps in this system are detecting the faces and recognizing them. After these, the comparison of detected faces can be done by crosschecking with the database of student's faces. The issue of fake attendance and proxies can be solved by this approach.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.