A Face Recognition Attendance System with GSM Notification

Current biometric methods for attendance are too intrusive. This paper presents a stress-free non-intrusive way of taking class attendance using face as the biometric. It also has the added novelty of relaying vital information about class attendance to handheld devices via any available cellular network. During enrollment, a camera was used to acquire facial images that were made into templates using Fisherfaces algorithm. These templates were stored in a database. During verification or attendance taking, facial features extracted from acquired face images and stored picture templates were compared using Fisher Linear Discrimination algorithm for any match within the pre-set threshold. Vital information about collated attendance reports were sent via a cellular network to designated handheld devices. The designed and implemented system had 54.17% accuracy during verification when lighting was varied without any variation in facial expression during enrollment. The system had 70.83% accuracy during verification when facial expressions were varied along with variations in lighting conditions during enrollment