Abstract
With advancement in computing and telecommunications technologies, digital images and videos are playing main role in the current information era. Human face is an important bio-metric object in image and video database of surveillance systems. Detecting and location of human faces and facial features in an image sequence is an important task in dynamic environments, such as videos where noise conditions, illuminations, locations of subjects and pose can vary significantly from frame to frame. An automated attendance system is used for marking human face recognition in real time for college to mark the attendance for their staff and students. Smart automated attendance marking using real time face recognition is a real world solution which comes with day to day activities of handling employees. Here multiple user faces are detected and recognized with the data base trained multiple texture based notability.
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