Face Recognition in Attendance: A Modern Solution

Abstract

 Biometrics, such as scanned fingerprints and irises have been revolving around the theme of identity cross verification for quite a while, however during such processes, performance and scalability find it difficult to scale especially when it comes to the vast data base sets. The research introduces new means of time capture whereby multi-face recognition technology would be utilized. The proposed method is in stark contrast with most biometrics as it provides rapid mass identification of several individuals as opposed to one at a time. The goals of this system are the integration of algorithms which perform facial recognition, spoof detection and the exact identification of the sought person. The system provides effective and robust means of capturing attendance and dealing with problems like identity theft and unauthorized attendance.