Smart Attendance Using Face Recognition

Abstract

Digital images and videos are playing increasingly important role in the current information-era, thanks to advancements in computer and telecommunication technologies. In surveillance system image and video database, thehuman face is a valuable biometric object. In complex settings such as image detecting and locating human faces and facial features in a picture or image series is crucial.Conditions, illuminations, subjects positions, and posture can all change dramatically from frame to frame. An automated system for human face recognition in the context for a college to monitor employee and student attendance. As a result, smart attendance with Real-Time face recognition is a practical option for dealing with workers on a daily basis. Using the data base trained multiple texture dependent features, multiple userfaces are identified and recognised.