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

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Computer Networks and Inventive Communication Technologies

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 58))

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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Author information

Authors and Affiliations

  1. Department of Computer Science And Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

    Suraj Raj & Saikat Basu

Authors
  1. Suraj Raj
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  2. Saikat Basu
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Corresponding author

Correspondence to Saikat Basu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, RVS Technical Campus, Coimbatore, India

    S. Smys

  2. Gerald Schwartz School of Business, St. Francis Xavier University, Antigonish, India

    Ram Palanisamy

  3. University of Lisbon, Lisbon, Portugal

    Álvaro Rocha

  4. Department of Business Administration of Food and Agricultural Enterprises, Agrinio Campus, University of Patras, Patras, Greece

    Grigorios N. Beligiannis

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Raj, S., Basu, S. (2021). Attendance Automation Using Computer Vision and Biometrics-Based Authentication-A Review. In: Smys, S., Palanisamy, R., Rocha, Á., Beligiannis, G.N. (eds) Computer Networks and Inventive Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 58. Springer, Singapore. https://doi.org/10.1007/978-981-15-9647-6_58

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

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9646-9

  • Online ISBN: 978-981-15-9647-6

  • eBook Packages: EngineeringEngineering (R0)

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