Face Recognition System for Attendance.

Abstract
The flow process in Face Detection and Recognition systems begins with the ability to detect and distinguish frontal faces via an input device, such as a cell phone or webcam. In today's society, it has been demonstrated that students engage more fully during lectures when classroom management is successful. The importance of high-level student engagement cannot be overstated. Students must remain interested throughout lectures, and one method to do so is to acknowledge and address them by name. As a result, this type of approach will enhance classroom control. In our own experience, we found that addressing a student by name offers us more control over the classroom and captures the attention of the other students in the room, encouraging them to participate during lectures. Face detection and recognition are not novel concepts in the culture in which we live. The human mind's capacity for individual recognition is exceptional. It's remarkable how the human mind can retain identification with specific individuals despite minor changes in look over time. Face recognition analyzes and compares patterns in photos to identify one or more faces [1]. This technique employs algorithms that extract features and compare them to a database in order to determine if they match.
Description
Keywords
Citation
Department Name
Electrical and Computer Engineering
Publisher
North South University
Printed Thesis
DOI
ISSN
ISBN