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A Multi-hop Energy-Efficient Cluster-Based Routing Using Multi-verse Optimizer in IoT Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Attendance Automation Using Computer Vision and Biometrics-Based Authentication-A Review

Authors : Suraj Raj, Saikat Basu

Published in: Computer Networks and Inventive Communication Technologies

Publisher: Springer Nature Singapore

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Abstract

Face detection and recognition methods have enhanced a lot in the last decade in terms of accuracy, speed, and overall performance. This development has completely changed many systems. Attendance management is one example of this change. Earlier, the pen-paper-based method was used for marking and storing attendance. The improvement in biometric detection and recognition methods has resulted in the possibility to build a complete automated attendance management system. Face recognition based methods for attendance management has many advantages over the traditional attendance methods. The main challenge with the face recognition based method for attendance is to ensure that it recognizes every detected face. In this paper, previous works of several authors on face recognition based attendance management systems have been discussed, and a comparative study has been performed between the works. This paper shows that the need for cost-effective and network independent face recognition based attendance system having high accuracy still exists.

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Metadata
Title
Attendance Automation Using Computer Vision and Biometrics-Based Authentication-A Review
Authors
Suraj Raj
Saikat Basu
Copyright Year
2021
Publisher
Springer Nature Singapore
Book
Computer Networks and Inventive Communication Technologies

Print ISBN: 978-981-15-9646-9

Electronic ISBN: 978-981-15-9647-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-9647-6_58